{"id":"W406618584","doi":"","title":"THE RETURNS TO CONTINUING VOCATIONAL TRAINING FOR EMPLOYEES IN QUEBEC, CANADA","year":2011,"lang":"en","type":"article","venue":"INTED2011 Proceedings","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Vocational education; Labour economics; Business; Political science; Geography; Economics; Economic growth","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":[0.001641136,0.0002046946,0.000396469,0.001148079,0.006386335,0.003840903,0.002049334,0.002624233,0.01159623],"category_scores_gemma":[0.006320758,0.0002721162,0.0005628678,0.002050207,0.001238964,0.0008121336,0.001411617,0.002593018,0.0005902256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1064443,"about_ca_system_score_gemma":0.1750433,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982253,"about_ca_topic_score_gemma":0.9994782,"domain_scores_codex":[0.9967032,0.0002576653,0.00007181433,0.0001248282,0.0006018279,0.002240757],"domain_scores_gemma":[0.9879612,0.000919071,0.0005612986,0.0001202201,0.003212347,0.007225913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00131804,0.0007100428,0.7195372,0.000438191,0.0001811219,0.001209481,0.007858955,0.003414981,0.0008214656,0.0183748,0.1229756,0.1231601],"study_design_scores_gemma":[0.00006983104,0.00009709014,0.9468942,0.0003155531,0.00003685112,0.0001093181,0.01308511,0.001588656,0.0001448442,0.0003730523,0.03723507,0.00005050092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9164151,0.004871903,0.0001422868,0.03827868,0.0003038211,0.00009989162,0.005011765,0.000033029,0.03484349],"genre_scores_gemma":[0.9444633,0.001563347,0.0001403251,0.002958955,0.00005400704,0.00003713039,0.0008848041,0.00001618127,0.04988191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1064443,"threshold_uncertainty_score":0.7723114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08154524995105102,"score_gpt":0.3365582844790129,"score_spread":0.2550130345279619,"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."}}