debug-904eee.log

{"sessionId": "904eee", "message": "repair_failed", "data": {"input_tail": "n studies. Sequencing ensures uniform coverage which aids robustness during subsequent filtering.\",\n\"Confidence\": 0.75\n}", "repaired_tail": "n studies. Sequencing ensures uniform coverage which aids robustness during subsequent filtering.\",\n\"Confidence\": 0.75\n}", "hypothesisId": "H1"}, "timestamp": 1772961980164}
{"sessionId": "904eee", "message": "extract_failed", "data": {"normalized_tail": "ssues common in multi-condition studies. Sequencing ensures uniform coverage which aids robustness during subsequent filtering.\",\n\"Confidence\": 0.75\n}", "repair_returned": false, "last_json_err": "Expecting ':' delimiter: line 1 column 4 (char 3)", "has_python_none": false, "hypothesisId": "H4"}, "timestamp": 1772961980165}
{"sessionId": "904eee", "message": "repair_failed", "data": {"input_tail": "ia unsupervised learning using dimension reduction techniques like PCA/UMAP from normalized data.\",\n\"Confidence\": 0.95\n}", "repaired_tail": "a unsupervised learning using dimension reduction techniques like PCA/UMAP from normalized data.\",\n\"Confidence\": 0.95\n}\"", "hypothesisId": "H1"}, "timestamp": 1772962029639}
{"sessionId": "904eee", "message": "extract_failed", "data": {"normalized_tail": "inct cell types/states first via unsupervised learning using dimension reduction techniques like PCA/UMAP from normalized data.\",\n\"Confidence\": 0.95\n}", "repair_returned": false, "last_json_err": "Expecting ':' delimiter: line 1 column 4 (char 3)", "has_python_none": false, "hypothesisId": "H4"}, "timestamp": 1772962029640}
{"sessionId": "904eee", "message": "repair_failed", "data": {"input_tail": "usters via downsampling/filtering based on read depth and genome coverage thresholds is mandatory.\",\n\"Confidence\": 0.9\n}", "repaired_tail": "usters via downsampling/filtering based on read depth and genome coverage thresholds is mandatory.\",\n\"Confidence\": 0.9\n}", "hypothesisId": "H1"}, "timestamp": 1772962075204}
{"sessionId": "904eee", "message": "extract_failed", "data": {"normalized_tail": "ighly degraded/contaminated clusters via downsampling/filtering based on read depth and genome coverage thresholds is mandatory.\",\n\"Confidence\": 0.9\n}", "repair_returned": false, "last_json_err": "Expecting value: line 2 column 36 (char 37)", "has_python_none": false, "hypothesisId": "H4"}, "timestamp": 1772962075205}
{"sessionId": "904eee", "message": "repair_failed", "data": {"input_tail": "factors rather than dynamic processes like maturation pathways required for trajectory inference.\",\n\"Confidence\": 0.95\n}", "repaired_tail": "factors rather than dynamic processes like maturation pathways required for trajectory inference.\",\n\"Confidence\": 0.95\n}", "hypothesisId": "H1"}, "timestamp": 1772962101951}
{"sessionId": "904eee", "message": "extract_failed", "data": {"normalized_tail": "identify static transcription factors rather than dynamic processes like maturation pathways required for trajectory inference.\",\n\"Confidence\": 0.95\n}", "repair_returned": false, "last_json_err": "Expecting ':' delimiter: line 1 column 4 (char 3)", "has_python_none": false, "hypothesisId": "H4"}, "timestamp": 1772962101951}
{"sessionId": "904eee", "message": "repair_failed", "data": {"input_tail": "s unique to intermediate progenitors versus terminally differentiated cells within those clusters.\",\n\"Confidence\": 0.9\n}", "repaired_tail": "s unique to intermediate progenitors versus terminally differentiated cells within those clusters.\",\n\"Confidence\": 0.9\n}", "hypothesisId": "H1"}, "timestamp": 1772962135915}
{"sessionId": "904eee", "message": "extract_failed", "data": {"normalized_tail": "ndance transcriptional features unique to intermediate progenitors versus terminally differentiated cells within those clusters.\",\n\"Confidence\": 0.9\n}", "repair_returned": false, "last_json_err": "Expecting ':' delimiter: line 1 column 4 (char 3)", "has_python_none": false, "hypothesisId": "H4"}, "timestamp": 1772962135916}