{"id":"W6979985287","doi":"","title":"Application of human errors analysis in manufacturing: A proposed intervention framework and techniques selection","year":2019,"lang":"en","type":"other","venue":"Espace ÉTS (ETS)","topic":"Amino Acid Enzymes and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Human error; Task (project management); Selection (genetic algorithm); Reduction (mathematics); Error detection and correction; Intervention (counseling)","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":[0.01565512,0.001833254,0.00109074,0.005917326,0.001361766,0.002898951,0.002136442,0.001683554,0.002690182],"category_scores_gemma":[0.01218511,0.0004860573,0.001151147,0.001988055,0.003331252,0.00223874,0.003335957,0.001299517,0.000561872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002279987,"about_ca_system_score_gemma":0.009819321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003055208,"about_ca_topic_score_gemma":0.003901071,"domain_scores_codex":[0.9845787,0.009099964,0.001069935,0.001743258,0.002904137,0.0006039852],"domain_scores_gemma":[0.9879372,0.006007478,0.00170679,0.0009199189,0.002931928,0.0004968444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006163175,0.00171462,0.01568409,0.003974685,0.0003648383,0.000524482,0.004606809,0.04125054,0.01436173,0.1974142,0.005338196,0.7141495],"study_design_scores_gemma":[0.0006043,0.004617874,0.02970424,0.005272198,0.0007997158,0.001420118,0.00769347,0.4577989,0.05204128,0.3443857,0.09512584,0.0005363296],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006792451,0.0004520174,0.9851473,0.001206547,0.00002664898,0.00148276,0.0001121083,0.0007914955,0.003988714],"genre_scores_gemma":[0.07146776,0.0003488938,0.9254929,0.0002020818,0.00002216117,0.001347876,0.0001418203,0.00003469645,0.0009418129],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01565512,"threshold_uncertainty_score":0.08279318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004812359344354813,"score_gpt":0.267100796995854,"score_spread":0.2622884376514992,"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."}}