{"id":"W2778552380","doi":"10.3399/bjgp17x694193","title":"Viewpoint: Doctor daughter","year":2017,"lang":"en","type":"article","venue":"British Journal of General Practice","topic":"Healthcare Systems and Challenges","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Engineers Without Borders Canada","funders":"","keywords":"Daughter; Medicine; Data science; World Wide Web; Computer science; Law","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003705938,0.0001163934,0.0004000479,0.00004806284,0.002019182,0.0001455996,0.0004884289,0.0002379613,0.0006201323],"category_scores_gemma":[0.004399548,0.0001124787,0.0001295177,0.0000285974,0.00005485114,0.00141286,0.0001262588,0.001686258,0.0002723181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001117395,"about_ca_system_score_gemma":0.00050039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004004905,"about_ca_topic_score_gemma":0.001030222,"domain_scores_codex":[0.9966486,0.001299911,0.001019306,0.0001601779,0.000444812,0.000427224],"domain_scores_gemma":[0.995375,0.0004480807,0.002299293,0.0003931747,0.001163774,0.00032062],"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":[0.0003947712,0.0003379384,0.00274106,0.0007654391,0.0003296564,0.005790919,0.003702666,0.000004023475,0.0009228722,0.008231092,0.6244264,0.3523531],"study_design_scores_gemma":[0.0009943526,0.0001324781,0.02414124,0.000995632,0.00004230644,0.003218182,0.001577815,0.000005764256,0.00001493719,0.0003854886,0.9683599,0.0001319059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4395655,0.0249884,0.0005036553,0.2428486,0.01451311,0.0008558329,0.00005634925,0.00005135974,0.2766172],"genre_scores_gemma":[0.8803905,0.02710984,0.009398879,0.02151057,0.02304404,0.00002825566,0.000003910385,0.00009606258,0.03841798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.440825,"threshold_uncertainty_score":0.99928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1234175289615361,"score_gpt":0.5052776216232775,"score_spread":0.3818600926617414,"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."}}