{"id":"W2751293469","doi":"10.3747/co.24.3593","title":"Lymph Node Retrieval Rates in Melanoma: A Quality Assessment Parameter","year":2017,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Ottawa; University of Toronto","funders":"","keywords":"Medicine; Lymph; Melanoma; Sentinel lymph node; Lymph node; Sentinel node; Biopsy; Dissection (medical); Percentile; Retrospective cohort study; Metastasis; Radiology; Cancer; Surgery; Breast cancer; Pathology; Internal medicine; Cancer research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0454847,0.0004013329,0.0011883,0.004402881,0.0004375033,0.001920761,0.001058457,0.0007913803,0.001356696],"category_scores_gemma":[0.1048231,0.0003180229,0.002092961,0.00521456,0.0009808191,0.001807355,0.001242295,0.0007782424,0.0002615337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002431482,"about_ca_system_score_gemma":0.000970209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003530673,"about_ca_topic_score_gemma":0.002202292,"domain_scores_codex":[0.9723532,0.01357052,0.006531287,0.002326494,0.004792464,0.0004260371],"domain_scores_gemma":[0.8453864,0.06924675,0.06369573,0.007056899,0.01259007,0.002024071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005882045,0.00002689082,0.9852048,0.0003085117,0.0007405521,0.00001868092,0.0001541221,0.001216152,0.0001158839,0.0001138814,0.0004731662,0.01103908],"study_design_scores_gemma":[0.00009395124,0.00073538,0.9885609,0.0003466795,0.0005272442,0.0004962403,0.0002726075,0.005607777,0.0005169186,0.0005527323,0.002226676,0.00006297039],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404378,0.02525054,0.02179197,0.001204921,0.0001259638,0.0007754431,0.006280479,0.0001727421,0.003960164],"genre_scores_gemma":[0.9939511,0.0005466923,0.003447097,0.0000741582,0.00002772681,0.0002272561,0.001588137,0.00002184416,0.0001160084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0454847,"threshold_uncertainty_score":0.240549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.157517632833441,"score_gpt":0.4654947713450266,"score_spread":0.3079771385115857,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}