{"id":"W7039287707","doi":"","title":"Les facteurs de rétention des employés : cas du secteur manufacturier","year":2024,"lang":"fr","type":"other","venue":"Depositum (Université du Québec en Abitibi-Témiscamingue)","topic":"Mollusks and Parasites Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Context (archaeology); Frugality; Undue influence","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":[0.002345179,0.00019936,0.0003100546,0.001612776,0.001606776,0.001710077,0.0007561193,0.0004302974,0.004420243],"category_scores_gemma":[0.008012721,0.0001661937,0.0003924218,0.002409816,0.00111102,0.0006321935,0.001019549,0.0006877757,0.0002752886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004515499,"about_ca_system_score_gemma":0.008207038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6877578,"about_ca_topic_score_gemma":0.769035,"domain_scores_codex":[0.998602,0.0002734511,0.00007643661,0.0001716334,0.000541769,0.0003347075],"domain_scores_gemma":[0.9933635,0.002140316,0.001817219,0.0002796316,0.001703019,0.0006963074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005701997,0.00004536799,0.9824247,0.00003568354,0.00004233567,0.00008074701,0.006019222,0.000128717,0.0001844116,0.0003650546,0.0003407376,0.01027606],"study_design_scores_gemma":[0.000001270801,0.00004245558,0.9922821,0.00002527209,0.00001465815,0.00002508671,0.006264914,0.0001880576,0.00007213416,0.00005087547,0.001027105,0.00000606684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996552,0.000267646,0.0002193484,0.0002456613,0.000006081115,0.00001653026,0.0003336819,0.000004817275,0.002354253],"genre_scores_gemma":[0.9968359,0.0002005777,0.0001696168,0.00003755543,0.000007647134,0.00001970553,0.00022218,0.000002682068,0.002504134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3122422,"threshold_uncertainty_score":0.6281621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00878567815430671,"score_gpt":0.1975063056900299,"score_spread":0.1887206275357232,"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."}}