{"id":"W1867517294","doi":"10.3917/riges.293.0073","title":"La contribution de la gestion des connaissances à la gestion de la relève","year":2004,"lang":"fr","type":"article","venue":"Gestion","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003198059,0.0003273624,0.0002614621,0.000230706,0.0004529016,0.0007014748,0.0001981608,0.0007682893,0.0002254342],"category_scores_gemma":[0.004078172,0.0003697581,0.0001332668,0.0005229035,0.001100183,0.001310512,0.00009595163,0.0007684195,0.0006035746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007076582,"about_ca_system_score_gemma":0.0001739153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002006684,"about_ca_topic_score_gemma":0.000395252,"domain_scores_codex":[0.9976783,0.0007349673,0.0003802779,0.0004227906,0.0002470876,0.0005365301],"domain_scores_gemma":[0.9974943,0.001430616,0.000265281,0.0001927504,0.0005601682,0.00005692126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002198179,0.0005837284,0.05890988,0.0006818291,0.00006383518,0.0002023794,0.0009596362,0.006049151,0.004965717,0.716801,0.001757368,0.2088057],"study_design_scores_gemma":[0.001298423,0.00008262871,0.557806,0.005144406,0.0003298873,0.0002655739,0.0004452517,0.00477331,0.003766788,0.1246863,0.3007909,0.0006105867],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7938846,0.02159914,0.1289093,0.01476274,0.001330751,0.0005383205,0.00002012265,0.0004510017,0.03850405],"genre_scores_gemma":[0.9938618,0.002591104,0.0006361583,0.0001778332,0.00124439,0.00005125376,0.00007919571,0.00004012818,0.001318164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5921147,"threshold_uncertainty_score":0.9998754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877991602930199,"score_gpt":0.2695709926333586,"score_spread":0.2507910766040566,"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."}}