{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08590173,0.001489241,0.001093774,0.003719439,0.002159038,0.003842838,0.001958038,0.003724855,0.006598224],"category_scores_gemma":[0.09997339,0.0006197114,0.002637475,0.002325186,0.002216629,0.004275348,0.00357481,0.002019025,0.0006381494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01318368,"about_ca_system_score_gemma":0.01736373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006351028,"about_ca_topic_score_gemma":0.006674193,"domain_scores_codex":[0.889009,0.07644742,0.00665982,0.001624936,0.02237681,0.003881985],"domain_scores_gemma":[0.8734959,0.07000273,0.01178834,0.00387417,0.03359815,0.007240692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.08913572,0.1182343,0.06224784,0.0266146,0.002791673,0.0007839293,0.005720693,0.01308879,0.003805114,0.01128952,0.01380244,0.6524853],"study_design_scores_gemma":[0.07240684,0.5970076,0.1887332,0.01523299,0.00723554,0.0007349332,0.013378,0.02121924,0.01563151,0.00488962,0.06288201,0.0006484975],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8597963,0.003043087,0.007676615,0.00676148,0.0004286476,0.08532759,0.004031329,0.0003635979,0.03257128],"genre_scores_gemma":[0.9314899,0.001618555,0.02713999,0.001619245,0.0002120751,0.03424095,0.001369881,0.00004165237,0.002267678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08590173,"threshold_uncertainty_score":0.4542972,"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."}}