{"id":"W2169790552","doi":"10.1177/0163278713491267","title":"The Effect of an Organizational Network for Patient Safety on Safety Event Reporting","year":2013,"lang":"en","type":"article","venue":"Evaluation & the Health Professions","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Institute for Clinical Evaluative Sciences; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Canadian Patient Safety Institute","keywords":"Patient safety; Event (particle physics); Psychology; Medicine; Medical emergency; Business; Health care; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.02382163,0.0003152866,0.0002288933,0.00126567,0.001275312,0.001457615,0.001143873,0.0007532042,0.002812795],"category_scores_gemma":[0.09566262,0.0001911098,0.0006324511,0.0007931057,0.0009441256,0.002471553,0.003497039,0.001136965,0.0002063225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003163593,"about_ca_system_score_gemma":0.005023432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005543576,"about_ca_topic_score_gemma":0.010271,"domain_scores_codex":[0.9719021,0.01969332,0.001226356,0.0009406742,0.004916921,0.001320505],"domain_scores_gemma":[0.8139797,0.1218931,0.03466752,0.007124658,0.009524676,0.01281028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001625049,0.005783353,0.7363372,0.0003747968,0.0003057232,0.0002105225,0.002286668,0.003204779,0.001027126,0.001004415,0.001301778,0.2465385],"study_design_scores_gemma":[0.0001193795,0.006297052,0.9828718,0.0002880142,0.0001718081,0.0001996095,0.003194172,0.003742021,0.0007355596,0.0004270755,0.001913653,0.00003980396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894962,0.000412622,0.001182224,0.002192275,0.00007824483,0.0002800436,0.00007624824,0.00003647923,0.006245692],"genre_scores_gemma":[0.9972518,0.0001651143,0.001801998,0.0002288785,0.00006102894,0.0001303096,0.00004521518,0.000003677993,0.0003120779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02382163,"threshold_uncertainty_score":0.1259823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09708794570485801,"score_gpt":0.4858904826340106,"score_spread":0.3888025369291526,"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."}}