{"id":"W2110860133","doi":"","title":"When evidence and common sense collide: resident hours and systems of care.","year":2013,"lang":"en","type":"article","venue":"PubMed","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Dimension (graph theory); Common sense; Service (business); Range (aeronautics); Computer science; Medicine; World Wide Web; Data science; Business; Political science; Law; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001471605,0.00007753062,0.0002618819,0.00005030076,0.00003133611,0.00002920945,0.0000270513,0.00004579626,0.00001156395],"category_scores_gemma":[0.0002649229,0.00005447383,0.00002301433,0.0000494211,0.0000624848,0.00009066773,0.00005295344,0.00006178267,0.00000285749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002840037,"about_ca_system_score_gemma":0.00001913048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001491189,"about_ca_topic_score_gemma":0.00003629904,"domain_scores_codex":[0.99933,0.00003414811,0.000182267,0.0001321781,0.000155632,0.0001658082],"domain_scores_gemma":[0.9992699,0.0001471426,0.00005866679,0.0001763325,0.00008385024,0.0002641169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003527076,0.00001693196,0.9803369,0.0004637102,0.00002675668,0.00002826427,0.0009460613,6.586287e-7,0.0001122978,0.00006472768,0.003252899,0.01471549],"study_design_scores_gemma":[0.0003769195,0.0000842736,0.996819,0.0002577099,0.00004989779,0.00004667875,0.001347268,0.00002121771,0.0004035935,0.00003498321,0.0004968151,0.0000616845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863064,0.01041577,0.000001251936,0.001397762,0.0000913895,0.001117466,0.000002878768,0.00001854306,0.0006485364],"genre_scores_gemma":[0.9974411,0.0004067126,0.000057224,0.0001074864,0.00003574117,0.0002405827,0.00000103767,0.000008626174,0.001701553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01648203,"threshold_uncertainty_score":0.2254241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02884398205769148,"score_gpt":0.26036278921985,"score_spread":0.2315188071621585,"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."}}