{"id":"W3037078375","doi":"10.30770/2572-1852-94.1.23","title":"Holding Hospitals Accountable for Improved Patient Safety: Confidential Reporting of Major Incidents","year":2008,"lang":"en","type":"article","venue":"Journal of Medical Regulation","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Confidentiality; Context (archaeology); Patient safety; Medical emergency; Medicine; Fiscal year; Acute care; Incident report; Business; Statute; Family medicine; Operations management; Health care; Finance; Computer security","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008285531,0.0001059443,0.0006026666,0.0001256064,0.0003138226,0.000006387838,0.0001970985,0.0003379549,0.001627392],"category_scores_gemma":[0.05826063,0.00007956079,0.0001749359,0.0001441422,0.0001059742,0.0004191268,0.00007565083,0.0006159909,0.000007002294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001496095,"about_ca_system_score_gemma":0.0009393228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001952796,"about_ca_topic_score_gemma":0.00001388837,"domain_scores_codex":[0.9935259,0.0002909227,0.004176038,0.0001413564,0.001567472,0.0002982872],"domain_scores_gemma":[0.9889486,0.001761354,0.007692027,0.0001805872,0.001098143,0.000319261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009819292,0.002432803,0.4678393,0.005907238,0.001285077,0.0004047688,0.05938575,0.0001423886,0.0679409,0.009777573,0.1774383,0.1976265],"study_design_scores_gemma":[0.02405169,0.00460251,0.6404917,0.0111835,0.0009113445,0.0007368118,0.02561792,0.01388921,0.01038522,0.01824925,0.2489039,0.0009769744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710377,0.0001579535,0.0155152,0.01087122,0.001591928,0.0005585667,0.000003714731,0.00001103428,0.0002526924],"genre_scores_gemma":[0.9959665,0.0001491637,0.001967029,0.0005046516,0.00112892,0.00001225879,0.00001026084,0.00001439822,0.000246807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1966496,"threshold_uncertainty_score":0.9992853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06806585586911258,"score_gpt":0.4471957708460287,"score_spread":0.3791299149769162,"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."}}