{"id":"W2087388709","doi":"10.1016/j.clinbiochem.2004.08.009","title":"Medical errors: impact on clinical laboratories and other critical areas","year":2004,"lang":"en","type":"review","venue":"Clinical Biochemistry","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":168,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal University Hospital; University of Saskatchewan","funders":"","keywords":"Health care; Medical emergency; Medicine; Control (management); Patient safety; Medical physics; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.005247248,0.0007345254,0.003155393,0.00007270642,0.0004011748,0.000005836844,0.000707593,0.005468675,0.002517786],"category_scores_gemma":[0.05622827,0.0004932206,0.001102347,0.0003633462,0.002044265,0.00004797331,0.0003542672,0.006491257,0.001427296],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002748853,"about_ca_system_score_gemma":0.009469235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001204758,"about_ca_topic_score_gemma":0.000002529164,"domain_scores_codex":[0.990513,0.002042927,0.004349876,0.001338351,0.000897884,0.0008579927],"domain_scores_gemma":[0.9797855,0.01511996,0.001290316,0.001259051,0.0002595453,0.002285645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006448767,0.004621217,0.03470027,0.1049186,0.001687737,0.000322603,0.0002816852,2.150781e-7,1.964077e-7,0.004038728,0.09847401,0.7503098],"study_design_scores_gemma":[0.0009736149,0.0003271587,0.0003109166,0.04924772,0.0004641994,0.00001461346,0.00008819574,0.000001008945,3.590635e-7,0.0002110916,0.9478837,0.0004774601],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005685379,0.9872583,0.00004981947,0.002231847,0.003673441,0.0009259024,0.0007696234,0.0002189574,0.004303561],"genre_scores_gemma":[0.0009330382,0.9893478,0.0001229779,0.004074285,0.004178194,0.0001985897,0.0003384413,0.0001063966,0.0007002879],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8494096,"threshold_uncertainty_score":0.9997519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2647541365165355,"score_gpt":0.6366866163686741,"score_spread":0.3719324798521386,"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."}}