{"id":"W7071427369","doi":"","title":"Suzy Canivenc, avec la collaboration de\\n Marie-Laure Cahier, Les jeunes, des travailleurs comme les\\n autres. Comment les entreprises peuvent-elles mieux répondre aux attentes des\\n salariés ? Paris, Chaire Futur de l’industrie et du travail, Éditions Mines\\n Paris-PSL, 2023","year":2024,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Politics; Work (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.007522654,0.001377042,0.0009679538,0.001896138,0.008307171,0.01193981,0.001700711,0.006106067,0.07310591],"category_scores_gemma":[0.02040107,0.0007674149,0.0007191045,0.002494488,0.005012274,0.006949845,0.004202202,0.008393112,0.03119371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01357302,"about_ca_system_score_gemma":0.02679321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08508227,"about_ca_topic_score_gemma":0.1547234,"domain_scores_codex":[0.9904138,0.003312409,0.000271433,0.00133617,0.003684014,0.0009821547],"domain_scores_gemma":[0.9825768,0.005786589,0.0009328973,0.0006438719,0.006271263,0.003788687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004187424,0.00001560207,0.000380015,0.0001944712,0.00001406634,0.00006196402,0.00113046,0.00008208632,0.0001645993,0.02210485,0.9525525,0.02325756],"study_design_scores_gemma":[0.00000663407,0.000006988988,0.0006901888,0.0001679598,0.000005390242,0.0000365058,0.0007726697,0.00003206866,0.0001494741,0.003065877,0.9950477,0.00001860156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001533531,0.08394351,0.002811571,0.7551489,0.02523643,0.00009004532,0.001023905,0.0002497574,0.1299624],"genre_scores_gemma":[0.03128751,0.06170604,0.00375046,0.06709624,0.008510635,0.0001932864,0.0006651008,0.0007457191,0.826045],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08508227,"threshold_uncertainty_score":0.2445636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594224684088543,"score_gpt":0.2336777026513398,"score_spread":0.2177354558104543,"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."}}