{"id":"W2027050655","doi":"10.7202/050058ar","title":"Trainee Experiences in Industrial Retraining Programs: A Case Study","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Retraining; Government (linguistics); Medical education; Psychology; Political science; Medicine; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002229394,0.0008276425,0.0005058007,0.001562248,0.0190378,0.002659964,0.002196905,0.002570648,0.003566035],"category_scores_gemma":[0.006370856,0.0006125228,0.0004816329,0.00160025,0.003731465,0.001334292,0.004158312,0.003491226,0.0005206076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005427548,"about_ca_system_score_gemma":0.004397647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08621944,"about_ca_topic_score_gemma":0.2183763,"domain_scores_codex":[0.9962593,0.001231536,0.00008850591,0.0001623697,0.0004646972,0.001793576],"domain_scores_gemma":[0.9963484,0.00117856,0.0004354901,0.0001142443,0.0004168465,0.001506397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001331906,0.001500853,0.0414344,0.0001532904,0.00002034256,0.03368375,0.8953204,0.0002047468,0.001392773,0.001246236,0.002843511,0.02206646],"study_design_scores_gemma":[0.00001542175,0.0004801384,0.01807812,0.00008249086,0.00001584394,0.01260602,0.9545739,0.0002991052,0.0005546253,0.0001592028,0.01309954,0.00003565641],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949061,0.0002039332,0.0002153309,0.0007546245,0.00003134865,0.00006046928,0.00001840055,0.00001138788,0.003798515],"genre_scores_gemma":[0.9938013,0.0005422015,0.0003305188,0.0003892655,0.00004173105,0.00003946596,0.00002362556,0.00001200315,0.004819953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08621944,"threshold_uncertainty_score":0.1714352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0880441817215471,"score_gpt":0.2660857437686103,"score_spread":0.1780415620470632,"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."}}