{"id":"W2969981005","doi":"10.1016/j.apergo.2019.102919","title":"Examining the fatigue-quality relationship in manufacturing","year":2019,"lang":"en","type":"article","venue":"Applied Ergonomics","topic":"Ergonomics and Human Factors","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Waterloo; Conestoga College","funders":"AUTO21 Network of Centres of Excellence; Natural Sciences and Engineering Research Council of Canada","keywords":"Quality (philosophy); Quality assurance; Variance (accounting); Psychology; Medicine; Engineering; Operations management; Business; Accounting","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":[0.003334119,0.0002628072,0.0002470719,0.001650728,0.0007888054,0.001813321,0.0004974401,0.000807895,0.003475904],"category_scores_gemma":[0.02053911,0.0002616863,0.0005460813,0.001363865,0.0005260051,0.001076492,0.001108836,0.000715011,0.0002638746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001176891,"about_ca_system_score_gemma":0.001134924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01612327,"about_ca_topic_score_gemma":0.02807025,"domain_scores_codex":[0.9983032,0.0007590427,0.0001347406,0.0001386603,0.0003970946,0.0002672566],"domain_scores_gemma":[0.9773043,0.01313336,0.005577164,0.0005025393,0.002182393,0.001300195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002118993,0.0003215493,0.9874478,0.00005428888,0.0001224453,0.00007405522,0.001359785,0.0006154127,0.000936962,0.0004906175,0.00008035851,0.008284803],"study_design_scores_gemma":[0.000006079789,0.0003167993,0.996327,0.00001564493,0.00003722234,0.00003168829,0.001735957,0.0009733578,0.0001614786,0.0001941745,0.0001953642,0.000005277187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979687,0.0001843666,0.0004203117,0.00009638195,0.000004114782,0.00001139568,0.00002200486,0.00000224011,0.001290328],"genre_scores_gemma":[0.9994746,0.00006009221,0.0002164206,0.00001559187,0.000003155983,0.000005593402,0.00002056616,9.249728e-7,0.0002031599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01612327,"threshold_uncertainty_score":0.03205884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04800328084413789,"score_gpt":0.2378116406043139,"score_spread":0.189808359760176,"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."}}