{"id":"W2031426481","doi":"10.1145/2110363.2110411","title":"CIS system hazards derived from literature using systems and human factors perspectives","year":2012,"lang":"en","type":"article","venue":"","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Enforcement; Order (exchange); Informatics; Legislation; Risk analysis (engineering); Computer science; Health informatics; Quality (philosophy); Computer security; Business; Knowledge management; Engineering; Health care; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01646559,0.000945107,0.0009093865,0.08034229,0.002280079,0.007214779,0.00108875,0.001328602,0.007371524],"category_scores_gemma":[0.05837916,0.0004133945,0.002453467,0.0463599,0.002443316,0.005838895,0.003123705,0.001324399,0.0009472164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00628798,"about_ca_system_score_gemma":0.00983519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01694574,"about_ca_topic_score_gemma":0.01659561,"domain_scores_codex":[0.9865206,0.002773863,0.003789895,0.0008885978,0.005619813,0.0004072171],"domain_scores_gemma":[0.850298,0.1157472,0.01207407,0.003012595,0.01829487,0.0005731293],"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":[0.0002923827,0.0001576447,0.175113,0.04078304,0.0007987283,0.002774124,0.04237051,0.008212027,0.004572009,0.1633112,0.0149818,0.5466335],"study_design_scores_gemma":[0.00009501905,0.0006719017,0.3043379,0.04941802,0.003148611,0.003250658,0.08500729,0.01284681,0.005586618,0.1449373,0.3903735,0.0003262933],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3301253,0.2062375,0.1967668,0.0169289,0.001425495,0.005106482,0.02778608,0.001047521,0.2145758],"genre_scores_gemma":[0.7711601,0.09346163,0.1090357,0.002052438,0.000599154,0.003368301,0.01373017,0.0001620624,0.006430489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08034229,"threshold_uncertainty_score":0.08707941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1553716894131426,"score_gpt":0.4587061616248671,"score_spread":0.3033344722117245,"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."}}