{"id":"W2604465081","doi":"10.1136/bmj.j1603","title":"Peter Gordon Watson","year":2017,"lang":"en","type":"article","venue":"BMJ","topic":"History of Medicine Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watson; Computer science; Data science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001752367,0.0006408942,0.0004455986,0.001319468,0.002245163,0.003981185,0.0008942253,0.002959857,0.07566996],"category_scores_gemma":[0.01080817,0.0003418742,0.0002979039,0.0007602235,0.001898984,0.003098928,0.002731868,0.007439142,0.03096032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001841187,"about_ca_system_score_gemma":0.005232514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005112831,"about_ca_topic_score_gemma":0.008346873,"domain_scores_codex":[0.9980391,0.0004202127,0.0000747771,0.0002968677,0.0009045101,0.000264558],"domain_scores_gemma":[0.9953597,0.000886342,0.0002046367,0.0002079202,0.00109861,0.002242732],"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":[0.000009202196,0.00000644075,0.00007767319,0.00003789307,0.00000157638,0.0001529955,0.0001365965,0.0000118457,0.00003983145,0.00616934,0.9699739,0.02338263],"study_design_scores_gemma":[0.000002179462,0.000005109625,0.00007659773,0.0001212489,8.558306e-7,0.0004821438,0.0001352486,0.000004737616,0.00002710661,0.001231237,0.9979098,0.000003722085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001238793,0.1173766,0.001201042,0.514155,0.1067292,0.00005633988,0.0002425947,0.0001820565,0.2588184],"genre_scores_gemma":[0.01867432,0.1224221,0.001330787,0.1980406,0.02903847,0.00008818568,0.0002001507,0.0003203203,0.629885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07566996,"threshold_uncertainty_score":0.2531412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07687058297303377,"score_gpt":0.3026350498465646,"score_spread":0.2257644668735309,"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."}}