{"id":"W2074553511","doi":"10.1142/s0218539311004317","title":"MEDICAL EQUIPMENT RELIABILITY: A REVIEW, ANALYSIS METHODS AND IMPROVEMENT STRATEGIES","year":2011,"lang":"en","type":"article","venue":"International Journal of Reliability Quality and Safety Engineering","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medical equipment; Reliability (semiconductor); Reliability engineering; Computer science; Human reliability; Human error; Engineering; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02480631,0.0002350079,0.0009040064,0.0002447292,0.0001876993,0.00001884978,0.0004447012,0.0003069924,0.0006506999],"category_scores_gemma":[0.006382697,0.0001926332,0.0002869992,0.0002922119,0.0001503669,0.0004031553,0.0003026537,0.001321348,0.000002833589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003218469,"about_ca_system_score_gemma":0.0005123242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007867948,"about_ca_topic_score_gemma":0.0000974099,"domain_scores_codex":[0.9938456,0.001358989,0.002927071,0.0003608427,0.001145678,0.0003618172],"domain_scores_gemma":[0.9942024,0.002904738,0.0008159599,0.0003799998,0.001245982,0.0004508638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005334563,0.001808642,0.3281891,0.04424398,0.01019759,0.000225779,0.06521008,0.002744155,0.0009196422,0.2513255,0.0007076574,0.2890933],"study_design_scores_gemma":[0.00499042,0.001140483,0.8467778,0.0110968,0.001710298,0.000126477,0.01835253,0.009971092,0.0002012662,0.04470304,0.05947673,0.001453053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5579733,0.01274494,0.3672049,0.05402065,0.004066641,0.001480359,0.0001514783,0.0001471353,0.002210686],"genre_scores_gemma":[0.8817495,0.04705666,0.06580931,0.004668408,0.0005197761,0.00005382963,0.00002642177,0.00003010432,0.00008600172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5185887,"threshold_uncertainty_score":0.8597422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09616103706357618,"score_gpt":0.4962329958409734,"score_spread":0.4000719587773972,"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."}}