{"id":"W6997210928","doi":"","title":"Vocationnel Training between theory and practice","year":2023,"lang":"fr","type":"article","venue":"theses.fr (ABES)","topic":"Technostress in Professional Settings","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Relation (database); Occupational training; Apprenticeship","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022893,0.0008629954,0.000820611,0.002534846,0.005204132,0.01704865,0.002828481,0.004762209,0.03616214],"category_scores_gemma":[0.03435959,0.0005673214,0.000889148,0.002303469,0.02506175,0.01469606,0.01296755,0.006804154,0.005753612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01017513,"about_ca_system_score_gemma":0.01796136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003896729,"about_ca_topic_score_gemma":0.004215198,"domain_scores_codex":[0.9722689,0.01803522,0.0009752348,0.00293963,0.004278811,0.001502195],"domain_scores_gemma":[0.9643171,0.02178249,0.001559136,0.006096048,0.003579322,0.002665843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002407321,0.0001011959,0.0006234469,0.0003249034,0.00001570545,0.0001022015,0.01229944,0.0003839021,0.0002310425,0.912567,0.01196261,0.06136454],"study_design_scores_gemma":[0.00002923996,0.00008645299,0.001463262,0.001589306,0.00001183777,0.0001661168,0.01664511,0.001097463,0.0004908735,0.5192276,0.4591653,0.00002748832],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02078017,0.01532185,0.09287515,0.1244623,0.004752278,0.0003162123,0.0001150915,0.0004417733,0.7409351],"genre_scores_gemma":[0.7291945,0.01111431,0.0642946,0.01978822,0.002190986,0.0009987119,0.0002420137,0.0004124349,0.1717642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03616214,"threshold_uncertainty_score":0.1210712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1284330559473121,"score_gpt":0.4451351506560464,"score_spread":0.3167020947087343,"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."}}