{"id":"W7104432754","doi":"10.71781/24251","title":"Implantation d'un programme de développement de carrière chez Berlex Canada Inc","year":2003,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"MEDLINE; Pregnancy; Population; Work (physics)","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":[0.0014596,0.0008587022,0.0004365435,0.002075291,0.004498465,0.002425657,0.001037332,0.001679237,0.01721166],"category_scores_gemma":[0.002632205,0.0004890822,0.0005844112,0.001411831,0.001266929,0.0009236303,0.001397568,0.001210201,0.002241222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03090274,"about_ca_system_score_gemma":0.05740923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9339415,"about_ca_topic_score_gemma":0.9412284,"domain_scores_codex":[0.9983285,0.0002125526,0.00004802665,0.0002431929,0.0004938911,0.0006737813],"domain_scores_gemma":[0.9964648,0.0005007012,0.0001682879,0.0001612341,0.001074699,0.001630238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.003063468,0.004076695,0.2235965,0.0003693103,0.0001758837,0.006242859,0.0186645,0.006775577,0.03311109,0.03983796,0.04810015,0.615986],"study_design_scores_gemma":[0.0004541568,0.002623594,0.5948812,0.0003570533,0.0001314359,0.001101689,0.01719984,0.005272833,0.01255918,0.001123931,0.3641144,0.0001806572],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9213737,0.001553865,0.004187269,0.003499492,0.0002151902,0.0006252312,0.002089245,0.0006209946,0.06583507],"genre_scores_gemma":[0.668698,0.001439922,0.007495306,0.0005672678,0.00006614047,0.0004504304,0.001468842,0.0001369631,0.3196772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9339415,"threshold_uncertainty_score":0.2242162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00797118402017752,"score_gpt":0.2089923193676376,"score_spread":0.2010211353474601,"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."}}