{"id":"W2765453300","doi":"10.1503/cmaj.733383","title":"Real-world data really matter","year":2017,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.001758934,0.0003054256,0.0007968283,0.0004922246,0.0005261988,0.0003323361,0.001307736,0.001385788,0.02433304],"category_scores_gemma":[0.003116336,0.0002416624,0.0002221932,0.0001356693,0.00009149161,0.000190459,0.0001311699,0.007156071,0.002421155],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001850396,"about_ca_system_score_gemma":0.01157725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02296453,"about_ca_topic_score_gemma":0.07555903,"domain_scores_codex":[0.9952451,0.0001587091,0.000702981,0.0004282281,0.002538286,0.0009267165],"domain_scores_gemma":[0.9944366,0.0002159369,0.0007966587,0.001193797,0.000438884,0.002918169],"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":[0.000002974237,0.000008126404,0.09933493,0.00003027383,0.0002159945,0.01502676,0.00001705261,7.513399e-9,1.154016e-7,0.000004210155,0.879041,0.006318572],"study_design_scores_gemma":[0.000509016,0.00003742137,0.1047887,0.0004316083,0.0001668454,0.0009466772,0.00001222494,0.00001285458,2.06624e-7,0.00004884604,0.8928152,0.0002304035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005497258,0.00006495101,0.000002529801,0.9104441,0.002004927,0.0001489148,0.0003006525,0.00002131788,0.08646284],"genre_scores_gemma":[0.0003463931,0.000321499,0.0002053109,0.8084467,0.02904844,0.000003122784,0.001008098,0.00006714781,0.1605533],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1019974,"threshold_uncertainty_score":0.9999107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513335531600891,"score_gpt":0.3088738254895005,"score_spread":0.2837404701734916,"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."}}