{"id":"W4226020905","doi":"10.3917/ems.oiry.2021.01.0166","title":"Les grands courants en gestion des ressources humaines","year":2021,"lang":"fr","type":"book-chapter","venue":"EMS Editions eBooks","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Employment and Social Development Canada","funders":"","keywords":"Political science","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":[0.002534336,0.0007970455,0.0004304034,0.001003124,0.003326164,0.009205128,0.0005889853,0.001850814,0.01819984],"category_scores_gemma":[0.005170532,0.0003032052,0.0004023105,0.001280591,0.004433692,0.004443375,0.002520204,0.003582988,0.003990949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004404383,"about_ca_system_score_gemma":0.002853987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02602944,"about_ca_topic_score_gemma":0.02033971,"domain_scores_codex":[0.9980723,0.000902079,0.00003031109,0.0001875693,0.0006301029,0.0001775467],"domain_scores_gemma":[0.9982693,0.0009367926,0.0001311492,0.0001295708,0.0003719763,0.0001611259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004481259,0.00002519379,0.0005253577,0.00008167538,0.000009792045,0.0004240194,0.02618038,0.0006107298,0.001059373,0.8555641,0.04319897,0.07227561],"study_design_scores_gemma":[0.000005939898,0.0000273905,0.001773789,0.0001699104,0.000006389028,0.0002888555,0.006677474,0.0004522005,0.0006814539,0.05808614,0.9318089,0.00002140474],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02262585,0.008818957,0.01424507,0.01082403,0.0009143542,0.00002614677,0.0001158059,0.0002356958,0.942194],"genre_scores_gemma":[0.1865449,0.005569859,0.004161457,0.0007766474,0.00067095,0.00004732689,0.00008136343,0.0002177585,0.8019298],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02602944,"threshold_uncertainty_score":0.06088448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08725585593949386,"score_gpt":0.3129647291981005,"score_spread":0.2257088732586067,"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."}}