{"id":"W4366504602","doi":"10.7202/1098573ar","title":"Mot des rédacteurs invités","year":2022,"lang":"fr","type":"article","venue":"Management international","topic":"Leadership, Human Resources, Global Affairs","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptation (eye); Political science; Library science; Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008203646,0.001211353,0.0007833574,0.002154841,0.005053523,0.006200857,0.001446704,0.004029754,0.1287128],"category_scores_gemma":[0.03531997,0.0005565669,0.0009700472,0.001789441,0.002932967,0.005585551,0.006793943,0.009141182,0.04528443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005006181,"about_ca_system_score_gemma":0.009127199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008965041,"about_ca_topic_score_gemma":0.009739222,"domain_scores_codex":[0.9870144,0.004429821,0.0005544471,0.0009588047,0.0053832,0.001659338],"domain_scores_gemma":[0.979894,0.003677706,0.002306019,0.001057525,0.008699737,0.004365088],"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":[0.0001810056,0.00009873892,0.004947912,0.0007854696,0.00002870295,0.001133275,0.005792154,0.0003125631,0.0009473564,0.06116326,0.7372545,0.187355],"study_design_scores_gemma":[0.00001630931,0.00004598628,0.00216325,0.0003592305,0.00000646877,0.0009985836,0.003251055,0.0001059042,0.0003600674,0.003945712,0.9887173,0.0000301356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.01735048,0.01446829,0.005314204,0.1950727,0.04178311,0.0003932977,0.002478464,0.001078696,0.7220608],"genre_scores_gemma":[0.1743179,0.01092927,0.009834517,0.03725213,0.0116998,0.0007544616,0.002561368,0.0009134994,0.7517371],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1287128,"threshold_uncertainty_score":0.4305873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05873614808669485,"score_gpt":0.300169390573404,"score_spread":0.2414332424867091,"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."}}