{"id":"W2180000252","doi":"10.1016/j.cll.2011.03.006","title":"Melanoma Margin Assessment","year":2011,"lang":"en","type":"review","venue":"Clinics in Laboratory Medicine","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"","keywords":"Melanoma; Margin (machine learning); Medicine; Cancer research; Computer science; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004423197,0.0007330034,0.00101576,0.002343355,0.0002218407,0.0006005905,0.0005395439,0.0005500729,0.005209919],"category_scores_gemma":[0.001776386,0.0002341532,0.0005099941,0.001047349,0.0002948939,0.0009550969,0.0005849568,0.0008199712,0.001428627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003089077,"about_ca_system_score_gemma":0.0005906105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001156477,"about_ca_topic_score_gemma":0.003777582,"domain_scores_codex":[0.9997571,0.0000497656,0.00003630451,0.00005203714,0.00008544983,0.00001934337],"domain_scores_gemma":[0.9994934,0.0002051277,0.000120748,0.00001920189,0.0001303957,0.00003127142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005458685,0.00002175377,0.001037081,0.0057737,0.00004898541,0.0002233664,0.00001980802,0.00009350236,0.0007216093,0.0002153997,0.01643692,0.9753533],"study_design_scores_gemma":[0.00009325171,0.0003643738,0.0209794,0.03222172,0.001404709,0.0239735,0.0002886326,0.0005962605,0.003743523,0.002363437,0.9139053,0.00006588264],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006359337,0.9944448,0.0006975961,0.0003076455,0.0003162588,0.00001750611,0.0000376188,0.00002632072,0.003516381],"genre_scores_gemma":[0.01560647,0.9766057,0.0020508,0.001179286,0.0006674122,0.00003191905,0.0001849758,0.000009895711,0.003663511],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005209919,"threshold_uncertainty_score":0.01742893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08583406876859029,"score_gpt":0.4145867446796807,"score_spread":0.3287526759110904,"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."}}