{"id":"W4380300980","doi":"10.3917/riges.482.0110","title":"On a lu pour vous – Les multiplicateurs de compétences, de Liz Wiseman","year":2023,"lang":"fr","type":"article","venue":"Gestion","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Political science","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":[0.002246231,0.0006944818,0.0004936419,0.0009677482,0.005699343,0.009016414,0.0007257222,0.002304118,0.01418878],"category_scores_gemma":[0.006018445,0.000368123,0.0003643126,0.0006974333,0.005344802,0.007805959,0.002818639,0.008889313,0.004199804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003145748,"about_ca_system_score_gemma":0.003354448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01018113,"about_ca_topic_score_gemma":0.0190611,"domain_scores_codex":[0.9982215,0.0007707123,0.00005668432,0.000451516,0.0003446944,0.0001549125],"domain_scores_gemma":[0.9973031,0.001039088,0.0002223153,0.0001441074,0.0006313111,0.000660024],"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":[0.00009048812,0.00003398732,0.001878819,0.0001536033,0.00002394264,0.0002497292,0.0101545,0.0001527186,0.0007298982,0.3158216,0.6255318,0.04517894],"study_design_scores_gemma":[0.00001044703,0.00002055432,0.001170662,0.0002236326,0.000008547643,0.000210897,0.005540307,0.0002202218,0.0005142983,0.04830306,0.9437396,0.0000377815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.007223481,0.02930076,0.007644137,0.8474525,0.01743854,0.00005044391,0.0001640855,0.000172796,0.09055329],"genre_scores_gemma":[0.1683673,0.03684738,0.009837336,0.1658013,0.006646015,0.0001420445,0.0001768131,0.0005040579,0.6116778],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01418878,"threshold_uncertainty_score":0.04746628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04840539832159697,"score_gpt":0.3226982574780656,"score_spread":0.2742928591564687,"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."}}