{"id":"W131570623","doi":"10.7202/029279ar","title":"Apprenticeship Training in European Countries. The Lessons for Canada","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Apprenticeship; Training (meteorology); Government (linguistics); Economic growth; Business; Political science; Labour economics; Engineering; Economics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001956568,0.0003379827,0.0002486079,0.0006535879,0.003879668,0.002702822,0.001098995,0.001465229,0.01346975],"category_scores_gemma":[0.003821242,0.0001325973,0.0002947699,0.00109376,0.001253414,0.001238043,0.002135631,0.001451451,0.0009599175],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01202237,"about_ca_system_score_gemma":0.046377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8633606,"about_ca_topic_score_gemma":0.9469723,"domain_scores_codex":[0.9979024,0.0003020199,0.00005124547,0.00018188,0.0003680426,0.001194338],"domain_scores_gemma":[0.9937631,0.0002322874,0.0001402531,0.0001263498,0.001524642,0.004213364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004049827,0.0004295182,0.05950057,0.0006230315,0.00005296166,0.001085664,0.006744898,0.001549952,0.001030367,0.04920095,0.1424485,0.7369287],"study_design_scores_gemma":[0.00007391263,0.0002227241,0.2792381,0.001677625,0.000032108,0.0004925758,0.02378953,0.0007638213,0.0009786469,0.004207473,0.688472,0.00005147449],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4093777,0.05680792,0.001914636,0.1674017,0.003102304,0.0001523443,0.001065638,0.0002089653,0.3599687],"genre_scores_gemma":[0.8758913,0.02641061,0.002383417,0.01178302,0.0002294958,0.00006216865,0.0006890117,0.00005532833,0.08249572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9879776,"threshold_uncertainty_score":0.2748882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1062013182504209,"score_gpt":0.351075566418836,"score_spread":0.2448742481684151,"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."}}