{"id":"W1576393237","doi":"10.7202/1009085ar","title":"Workplace Training: How Context Impacts on Instructors’ Activities","year":2012,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Ergonomics and Human Factors","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Diversification (marketing strategy); Training (meteorology); Context (archaeology); Product (mathematics); Globalization; Work (physics); Business; Marketing; Public relations; Production (economics); Engineering; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00007332672,0.0001482839,0.0001300781,0.0001382131,0.0001316957,0.00006151321,0.00007655202,0.0002042048,0.0001601695],"category_scores_gemma":[0.00004127078,0.0001485807,0.0000481338,0.0001178675,0.00004215818,0.00032623,0.00001167938,0.0004029773,0.0000555811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001253003,"about_ca_system_score_gemma":0.00003371902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003422473,"about_ca_topic_score_gemma":0.000008043442,"domain_scores_codex":[0.9994137,0.00001527735,0.0001163176,0.00008198682,0.00008183436,0.0002908617],"domain_scores_gemma":[0.9995108,0.0001547671,0.00003406181,0.0001592075,0.000008623707,0.0001325884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007123929,0.0002878489,0.1728816,0.00002900781,0.0009776249,0.000005972726,0.09181134,0.04250284,0.002176248,0.2443663,0.2071998,0.2376901],"study_design_scores_gemma":[0.001319702,0.0001289123,0.06885335,0.0002204387,0.00008210293,0.0000167636,0.03039457,0.002436621,0.01008321,0.0004189046,0.8847485,0.001296929],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723508,0.0003130495,0.00009822874,0.0001659394,0.000592698,0.00008931271,0.00001953428,0.0001821165,0.02618828],"genre_scores_gemma":[0.9976319,0.00003683905,0.00006859173,0.00002152719,0.0003105186,0.000007626191,0.00001959461,0.00003292604,0.001870455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6775486,"threshold_uncertainty_score":0.6058943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04106052477492494,"score_gpt":0.2204874578243075,"score_spread":0.1794269330493825,"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."}}