{"id":"W2724640872","doi":"","title":"Développer une gestion des ressources humaines bienveillante, innovatrice et socio-économiquement performante dans les centres d'appels","year":2011,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Humanities; Political science; Philosophy","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":[0.005626454,0.0007246721,0.0005906693,0.001508858,0.001711338,0.008221054,0.0008252756,0.002105535,0.01195051],"category_scores_gemma":[0.01499431,0.0003990711,0.0009381598,0.002114309,0.00177311,0.004689769,0.002548186,0.001265513,0.002608269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003154431,"about_ca_system_score_gemma":0.003697623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02450179,"about_ca_topic_score_gemma":0.02031091,"domain_scores_codex":[0.9948176,0.002812908,0.000147018,0.0006139384,0.001307899,0.0003006298],"domain_scores_gemma":[0.9890927,0.006816858,0.0008200698,0.001057081,0.001739417,0.0004739092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001399803,0.001640678,0.08235722,0.001376727,0.000388277,0.001497382,0.1513182,0.02195664,0.03977781,0.09023149,0.006553481,0.6015024],"study_design_scores_gemma":[0.0004554651,0.003084765,0.2765101,0.001456414,0.0005949093,0.001260957,0.2052161,0.08453079,0.06457716,0.06469531,0.2971142,0.0005039703],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8404071,0.0007752287,0.09338222,0.003042107,0.0000744408,0.0002388108,0.0006194559,0.0009871887,0.06047345],"genre_scores_gemma":[0.9087806,0.0004424801,0.06735776,0.0001013155,0.0000243911,0.0001592274,0.0003079243,0.0001774236,0.02264895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02450179,"threshold_uncertainty_score":0.04871839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05523494424017753,"score_gpt":0.2494190313204139,"score_spread":0.1941840870802364,"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."}}