{"id":"W2153571029","doi":"10.2196/medinform.3316","title":"Electronic Clinical Safety Reporting System: A Benefits Evaluation","year":2014,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; St. John’s Health Sciences Centre; BAH Enterprises (Canada)","funders":"Government of Canada","keywords":"Vendor; Patient safety; Medical emergency; Health care; Electronic health record; Electronic systems; Business; Medicine; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0247731,0.0001633607,0.0004846196,0.0001011105,0.0005759539,0.000002246341,0.0003064198,0.0006245088,0.0007658048],"category_scores_gemma":[0.01644822,0.0001284781,0.0001264478,0.0002799108,0.0001108932,0.0002382568,0.0001294237,0.001570818,0.001218318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004384983,"about_ca_system_score_gemma":0.001925827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009826986,"about_ca_topic_score_gemma":0.00003234227,"domain_scores_codex":[0.9905119,0.001003905,0.005609135,0.0001630155,0.001991451,0.0007205905],"domain_scores_gemma":[0.9929802,0.001134246,0.004297019,0.0005310453,0.0004540957,0.0006033781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003153697,0.0004590563,0.09446765,0.003720891,0.000247394,0.000003654586,0.03233128,0.0003927855,0.000001831867,0.1632569,0.03961162,0.6651916],"study_design_scores_gemma":[0.004546891,0.0003128753,0.06372174,0.002262154,0.0001349248,0.00002556893,0.01227701,0.4110862,0.000002333739,0.0003677508,0.5048959,0.0003666357],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6921358,0.0001229914,0.07924874,0.005476495,0.004887382,0.004362894,0.00001332883,0.0008754496,0.2128769],"genre_scores_gemma":[0.9931805,0.00007860045,0.0005862995,0.004462966,0.0008131562,0.0004095201,0.0001979263,0.00001795488,0.0002530663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.664825,"threshold_uncertainty_score":0.9995593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1340506391110508,"score_gpt":0.502179849399837,"score_spread":0.3681292102887862,"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."}}