{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000928169,0.00008660683,0.0000965018,0.00003076705,0.00003077217,0.00003978236,0.0002485598,0.00014692,0.00002639415],"category_scores_gemma":[0.0001422439,0.00005067206,0.00004468491,0.00004965596,0.00009233244,0.000005184038,0.00007454513,0.00005218674,0.00006979318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009678779,"about_ca_system_score_gemma":0.00004920934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001666831,"about_ca_topic_score_gemma":0.00007940619,"domain_scores_codex":[0.9993272,0.00006598229,0.0001469567,0.000192475,0.00005174061,0.0002155755],"domain_scores_gemma":[0.9994945,0.00008467401,0.00004072422,0.0003234609,0.00002667479,0.00002997033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003735877,0.0003828264,0.1497411,0.00004908302,0.0001159786,0.0006871171,0.0007655369,0.0000145069,0.4165915,0.03214069,0.1876328,0.2115053],"study_design_scores_gemma":[0.001723147,0.00009158605,0.02694146,0.00002725568,0.00001069955,0.001511339,0.000352516,0.00001156382,0.05456674,0.002279541,0.9122329,0.0002512834],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746495,0.002809301,0.0005442306,0.01986517,0.0003819476,0.0001108937,0.00001296069,0.00000557617,0.001620354],"genre_scores_gemma":[0.9941494,0.002079932,0.00009857431,0.00335453,0.0001548293,0.00003141208,0.00001491631,0.000009710419,0.000106645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7246001,"threshold_uncertainty_score":0.2066347,"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."}}