{"id":"W2295004678","doi":"10.3166/ria.29.369-398","title":"Politiques de bandits manchots et crédibilité dans les systèmes de réputation","year":2015,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Corporate Identity and Reputation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Philosophy","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":[0.01990191,0.001610252,0.002807553,0.004642467,0.005451784,0.02371483,0.002258609,0.007282894,0.01260226],"category_scores_gemma":[0.08123541,0.00197196,0.00220066,0.004444508,0.01561579,0.02100043,0.003361533,0.01445669,0.001216808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01427106,"about_ca_system_score_gemma":0.003094065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01724592,"about_ca_topic_score_gemma":0.01060652,"domain_scores_codex":[0.9810347,0.01155917,0.0006335533,0.002041116,0.003773895,0.0009575232],"domain_scores_gemma":[0.918972,0.06981402,0.002731397,0.003468974,0.003095396,0.001918206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009677425,0.00003749356,0.0005839486,0.00006455838,0.00003860848,0.00006880067,0.0005214158,0.01706745,0.0005533361,0.9747581,0.0006351212,0.005574335],"study_design_scores_gemma":[0.0001139637,0.0000592716,0.001678192,0.00009010799,0.00004308923,0.000138201,0.0003786183,0.2631606,0.0009357804,0.7283389,0.004994776,0.00006853858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2071666,0.003530914,0.6926467,0.01565748,0.0003800863,0.000159742,0.0003661615,0.0007389977,0.07935332],"genre_scores_gemma":[0.9247452,0.00133733,0.05385949,0.0004748547,0.0005817123,0.0002889053,0.0001925266,0.0001893984,0.01833054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02371483,"threshold_uncertainty_score":0.1052526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08388556708175668,"score_gpt":0.3006823396900254,"score_spread":0.2167967726082688,"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."}}