{"id":"W2215137433","doi":"","title":"Discoverers who advanced dermatology","year":2015,"lang":"en","type":"article","venue":"Dermatology Times E-News","topic":"Medicine and Dermatology Studies History","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dermatology; Medicine; Art history; Art; Library science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009239736,0.00047037,0.001545883,0.0003755769,0.0001792469,0.000009062939,0.0002658575,0.0004642911,0.0001544703],"category_scores_gemma":[0.0003879436,0.0004009823,0.0002140221,0.000322373,0.0008786029,0.0002057757,0.0001798306,0.0005556714,0.001709684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001465506,"about_ca_system_score_gemma":0.0004828548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004153523,"about_ca_topic_score_gemma":0.00004222911,"domain_scores_codex":[0.9970966,0.0002223495,0.0007931688,0.0006626971,0.0003594892,0.000865703],"domain_scores_gemma":[0.9978097,0.000202982,0.0002513325,0.0008533279,0.0002288492,0.0006538022],"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":[0.0004201683,0.0001617631,0.05990831,0.0001379136,0.0002755025,0.004049428,0.0008391725,0.000003668794,0.0001060676,0.002499753,0.9301323,0.001465903],"study_design_scores_gemma":[0.007658853,0.0002338941,0.001410479,0.00009101804,0.0003472838,0.0267006,0.003638054,0.0002323284,0.001425992,0.0006846717,0.9570707,0.0005061134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2333459,0.01523503,0.001187965,0.06352732,0.002330145,0.001092324,0.00001606746,0.0006404917,0.6826248],"genre_scores_gemma":[0.8368261,0.001193116,0.004286493,0.1388298,0.000408124,0.0002777116,0.0002764303,0.0001757249,0.01772654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6648983,"threshold_uncertainty_score":0.9998442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221842796123452,"score_gpt":0.2876651066839355,"score_spread":0.2654808270715903,"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."}}