{"id":"W46383279","doi":"10.1016/b978-008045373-6/50009-x","title":"Ergonomic Analysis of Work Activity and Training: Basic Paradigm, Evolutions and Challenges","year":2007,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Ergonomics and Human Factors","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Engineering and Physical Sciences Research Council; Arts and Humanities Research Council; Erasmus Universiteit Rotterdam; Natural Sciences and Engineering Research Council of Canada; European Commission; Erasmus Research Institute of Management; National Science Foundation; Procter and Gamble; Deutscher Akademischer Austauschdienst","keywords":"Training (meteorology); Work (physics); Engineering ethics; Psychology; Knowledge management; Cognitive science; Computer science; Engineering; Mechanical engineering; Geography","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":[0.001068581,0.0008960757,0.0007849931,0.00304803,0.0004576829,0.003996328,0.00103019,0.0008208796,0.00449441],"category_scores_gemma":[0.001879381,0.0003525245,0.0005185113,0.003637483,0.002132635,0.002481892,0.0007051748,0.000921535,0.0007379583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456771,"about_ca_system_score_gemma":0.001861728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004830034,"about_ca_topic_score_gemma":0.004275694,"domain_scores_codex":[0.9993492,0.0002070816,0.00005363637,0.0001332632,0.0002111246,0.00004581204],"domain_scores_gemma":[0.998862,0.00071387,0.00009119424,0.00006244974,0.0002226877,0.00004781028],"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":[0.0001165479,0.0001963898,0.01508005,0.001708146,0.0001009971,0.0002137659,0.003926606,0.008341682,0.005197573,0.2921827,0.01353412,0.6594015],"study_design_scores_gemma":[0.00001887368,0.000331026,0.117035,0.002906867,0.0001368931,0.00158799,0.009909055,0.03140414,0.00231709,0.6029841,0.2312338,0.0001351975],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07337182,0.2849345,0.4358143,0.0149338,0.001525076,0.0001806972,0.001246459,0.000657939,0.1873354],"genre_scores_gemma":[0.5746668,0.2033724,0.1580905,0.001683492,0.002635516,0.0004200242,0.001313346,0.0003198287,0.05749809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004830034,"threshold_uncertainty_score":0.01503527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05144011100573959,"score_gpt":0.2295674519321451,"score_spread":0.1781273409264055,"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."}}