{"id":"W2809560907","doi":"10.3917/riges.432.0032","title":"Les marques dans un monde transparent","year":2018,"lang":"fr","type":"article","venue":"Gestion","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","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":true,"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":[0.005053389,0.000880754,0.0006299273,0.001357013,0.008674911,0.02126549,0.001181169,0.004109629,0.04431343],"category_scores_gemma":[0.01434466,0.0008748781,0.000882371,0.001468443,0.01066668,0.01565908,0.007215121,0.00643401,0.007362078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005592847,"about_ca_system_score_gemma":0.003873635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01360404,"about_ca_topic_score_gemma":0.01600814,"domain_scores_codex":[0.9957515,0.001620865,0.0001164693,0.0006104889,0.001412371,0.0004883106],"domain_scores_gemma":[0.9952725,0.001354891,0.000373442,0.001132799,0.001265679,0.0006007053],"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":[0.00004459462,0.00001164378,0.0001875818,0.00005710847,0.000008762087,0.0002185968,0.005183477,0.0002431453,0.0004800445,0.9554929,0.02352937,0.0145429],"study_design_scores_gemma":[0.00001370721,0.00001568467,0.0002538011,0.0001326238,0.000008811186,0.0002063292,0.002642912,0.0004804472,0.0004358669,0.107909,0.8878691,0.00003183505],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0316903,0.01968209,0.05585566,0.09500226,0.007050382,0.0001005249,0.0003832288,0.001046361,0.7891892],"genre_scores_gemma":[0.403999,0.009553293,0.02105859,0.004617792,0.002202812,0.0001434738,0.0001424456,0.001012786,0.5572698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04431343,"threshold_uncertainty_score":0.1482432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2982859761399621,"score_gpt":0.3247784966024572,"score_spread":0.02649252046249512,"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."}}