{"id":"W4220681284","doi":"10.3917/riges.471.0023","title":"Vu d’ici – Comment déléguer des tâches au travail ?","year":2022,"lang":"fr","type":"article","venue":"Gestion","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01263152,0.0005559516,0.0005002694,0.0007595056,0.01183652,0.01087422,0.001618919,0.006131661,0.0154966],"category_scores_gemma":[0.02910707,0.0003988477,0.0005490815,0.001090226,0.02175746,0.01000218,0.003920069,0.008287262,0.00317913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01166595,"about_ca_system_score_gemma":0.01311961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1167333,"about_ca_topic_score_gemma":0.0992064,"domain_scores_codex":[0.9858292,0.00764839,0.0003487713,0.001857819,0.002239702,0.002076093],"domain_scores_gemma":[0.9868275,0.003982689,0.001325247,0.001985153,0.003807793,0.00207177],"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":[0.00007918961,0.00006588456,0.005903422,0.0001457412,0.00003454744,0.00044538,0.08314283,0.0003653451,0.001270237,0.8036277,0.06690416,0.03801563],"study_design_scores_gemma":[0.00003366208,0.00008003932,0.00734381,0.0005145011,0.00002817746,0.0003683892,0.04933731,0.0006684275,0.00117149,0.1515917,0.7887657,0.00009672843],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05543117,0.004852701,0.0255209,0.4337372,0.003038045,0.00009141798,0.0001639094,0.0002791357,0.4768855],"genre_scores_gemma":[0.8515306,0.00191893,0.006029666,0.02952086,0.000944232,0.0001194845,0.00009032273,0.0002906794,0.1095553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1167333,"threshold_uncertainty_score":0.2321076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04806148866074356,"score_gpt":0.2994245590719396,"score_spread":0.251363070411196,"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."}}