{"id":"W2548394823","doi":"10.3917/riges.413.0066","title":"Professionnels : mieux comprendre pour mieux servir","year":2016,"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; Political science; Art","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":[0.005251351,0.0003406409,0.0003657003,0.001026199,0.01128588,0.008847021,0.0007291586,0.003524095,0.01898306],"category_scores_gemma":[0.009863035,0.0002727682,0.0002863923,0.001013882,0.01165514,0.009568451,0.006506599,0.005553573,0.003040394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006920479,"about_ca_system_score_gemma":0.01724401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02786911,"about_ca_topic_score_gemma":0.04715711,"domain_scores_codex":[0.9935755,0.003087743,0.0001463234,0.0006183129,0.001081306,0.001490843],"domain_scores_gemma":[0.9928051,0.001137718,0.0007267115,0.0003427998,0.001050349,0.003937334],"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":[0.0001192424,0.0001339196,0.01308327,0.0002051936,0.00002267895,0.0008542381,0.1391987,0.0001732394,0.00132973,0.6347993,0.09226207,0.1178184],"study_design_scores_gemma":[0.00002035661,0.0001022209,0.01146481,0.0006366383,0.00001149962,0.0006101283,0.0895865,0.0002560165,0.0002727273,0.1161222,0.780866,0.0000509383],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1319783,0.01288535,0.008658114,0.5756593,0.003104927,0.00006469997,0.0001243342,0.0001991668,0.2673258],"genre_scores_gemma":[0.8540344,0.006124443,0.005026674,0.02600237,0.001226771,0.00007799138,0.00007523597,0.0001160082,0.107316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02786911,"threshold_uncertainty_score":0.0635047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04594404386811921,"score_gpt":0.3199763964776516,"score_spread":0.2740323526095324,"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."}}