{"id":"W4239537783","doi":"10.1503/cmaj.181018","title":"Code blue","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Courtesy; Computer science; Computer graphics (images); Computer security; Art; Philosophy; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002224577,0.00005308993,0.00009621331,0.00007927161,0.001406368,0.0001438598,0.0001889295,0.0001967216,0.00989116],"category_scores_gemma":[0.004170655,0.00004905096,0.00005042653,0.000195822,0.0001712208,0.0001462778,0.000009005716,0.0003102617,0.001031063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005406814,"about_ca_system_score_gemma":0.003515172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01537285,"about_ca_topic_score_gemma":0.7341368,"domain_scores_codex":[0.9979041,0.0002091353,0.0001791819,0.00007177178,0.001136131,0.0004997438],"domain_scores_gemma":[0.9976655,0.0001288317,0.00009013386,0.00004451403,0.0004198363,0.0016512],"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":[0.000002478106,0.00001222346,0.1003645,7.875971e-7,0.00005981274,0.00007456157,0.03028863,1.185517e-7,0.000001083773,0.003998884,0.8138519,0.05134507],"study_design_scores_gemma":[0.0001710201,0.000024837,0.01894899,0.00001206113,0.000005738812,0.00001119314,0.007412022,0.000004150611,0.000002472165,0.0004896071,0.9728536,0.00006432441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4288047,0.0002011658,0.0001191083,0.1729737,0.002899545,0.0000812745,0.00001820689,0.00004027225,0.394862],"genre_scores_gemma":[0.9680699,0.0001305476,0.00004038852,0.01938985,0.007288154,0.00000107671,6.968887e-7,0.000005423349,0.005074029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7187639,"threshold_uncertainty_score":0.9998937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791234306187415,"score_gpt":0.3016230516214246,"score_spread":0.2837107085595504,"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."}}