{"id":"W4395108461","doi":"10.3917/dm.037.0085","title":"P2P : La valorisation du contraire","year":2005,"lang":"fr","type":"article","venue":"Décisions Marketing","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0108286,0.00236134,0.001175578,0.002728493,0.004197117,0.01832734,0.005685004,0.005886951,0.02539693],"category_scores_gemma":[0.03665834,0.001387181,0.001393543,0.004524412,0.006119361,0.03038665,0.01304915,0.009949346,0.01589085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002192183,"about_ca_system_score_gemma":0.006429461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007142589,"about_ca_topic_score_gemma":0.003847371,"domain_scores_codex":[0.9866843,0.004926391,0.000671245,0.002485313,0.004512077,0.0007207082],"domain_scores_gemma":[0.9825282,0.006572871,0.0005253506,0.00615569,0.00346182,0.0007562632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002119607,0.00007410615,0.0007577937,0.0009938413,0.0001202709,0.0006840486,0.002337295,0.001741022,0.00308658,0.5802277,0.1439767,0.2657886],"study_design_scores_gemma":[0.00004028331,0.00004408227,0.0001901866,0.0003090896,0.00005876804,0.0009741927,0.0006106811,0.0102242,0.003366519,0.2523282,0.731803,0.00005081077],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005248086,0.01023975,0.7655119,0.05050378,0.004420461,0.0003833031,0.0009887548,0.008974439,0.1537294],"genre_scores_gemma":[0.2029306,0.0244619,0.5594229,0.0149656,0.006764002,0.001774891,0.004243088,0.01133083,0.1741062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02539693,"threshold_uncertainty_score":0.08496112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1526707052451678,"score_gpt":0.3026329839088704,"score_spread":0.1499622786637026,"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."}}