{"id":"W2314457169","doi":"10.1097/00004669-200501000-00047","title":"Enhanced Performance and Cost-effective Clinical Engineering System for Jordan","year":2005,"lang":"en","type":"article","venue":"Journal of Clinical Engineering","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Interface Biologics (Canada)","funders":"University of Illinois at Urbana-Champaign","keywords":"Clinical engineering; Computer science; Risk analysis (engineering); Medicine; Political science; Health care","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":[0.004375165,0.0007065756,0.0004571786,0.001816288,0.0009692033,0.002386954,0.0009481487,0.0008675564,0.01036305],"category_scores_gemma":[0.005546197,0.0002980076,0.000439797,0.0009651892,0.0004821943,0.001532862,0.002192155,0.0005107202,0.004100377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460957,"about_ca_system_score_gemma":0.007678228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001946487,"about_ca_topic_score_gemma":0.002219828,"domain_scores_codex":[0.995776,0.001254997,0.0004963988,0.0003776896,0.001817234,0.000277639],"domain_scores_gemma":[0.9944894,0.0005138755,0.0005249206,0.0006215475,0.003071526,0.0007786523],"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":[0.0006093081,0.001585986,0.01856853,0.0005455537,0.00005726035,0.0005576061,0.0009442812,0.007714605,0.02549021,0.005725424,0.0526436,0.8855576],"study_design_scores_gemma":[0.001315959,0.009592975,0.09968992,0.0009398538,0.0003510465,0.005682479,0.002555197,0.1034732,0.06401883,0.006632457,0.7052408,0.0005072054],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3590575,0.002721797,0.5031439,0.009529712,0.001198045,0.008880327,0.001637647,0.02872657,0.08510464],"genre_scores_gemma":[0.4212057,0.001791577,0.5225623,0.001919953,0.0007432696,0.002469419,0.003490226,0.0005471946,0.04527039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01036305,"threshold_uncertainty_score":0.03466785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1464981351760252,"score_gpt":0.521863896319319,"score_spread":0.3753657611432938,"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."}}