{"id":"W2265420661","doi":"10.1001/jamadermatol.2015.3677","title":"Biopsy—What’s in the Name?","year":2016,"lang":"en","type":"article","venue":"JAMA Dermatology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Dermatology; Biopsy; MEDLINE; Pathology","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":[0.002551717,0.001043461,0.001242349,0.001732021,0.00171351,0.00392184,0.001231886,0.005701304,0.02984452],"category_scores_gemma":[0.01196616,0.0004905496,0.001144357,0.001001156,0.002084272,0.01005916,0.001003025,0.007713992,0.01734633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292796,"about_ca_system_score_gemma":0.001155283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004965347,"about_ca_topic_score_gemma":0.006994396,"domain_scores_codex":[0.9983442,0.0003911046,0.0001917046,0.000229155,0.0005507895,0.0002930183],"domain_scores_gemma":[0.9965588,0.000825971,0.0003083583,0.0001985276,0.001119453,0.0009887727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003037049,0.0001406457,0.01097126,0.0007532885,0.0001416553,0.0131173,0.0002974322,0.0002858599,0.001585346,0.003862516,0.7465193,0.2220216],"study_design_scores_gemma":[0.00006858019,0.0001904894,0.005781881,0.003758659,0.0001536347,0.1323724,0.004001023,0.0009284551,0.001509649,0.02509966,0.8259439,0.0001918403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00681048,0.09168418,0.01087966,0.7450216,0.09070723,0.0001537629,0.000646253,0.001149331,0.05294748],"genre_scores_gemma":[0.1083948,0.1423144,0.0210321,0.5314964,0.1080772,0.0001734469,0.0009263827,0.001340669,0.08624466],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02984452,"threshold_uncertainty_score":0.09983987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007774227656805252,"score_gpt":0.2371261666028314,"score_spread":0.2293519389460261,"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."}}