{"id":"W1553896841","doi":"","title":"L’art pour savoir","year":2013,"lang":"fr","type":"article","venue":"Continuit&#233;","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Computer science","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":[0.004031287,0.002166712,0.0009819621,0.002204433,0.0109461,0.01673817,0.001188715,0.007032336,0.04414886],"category_scores_gemma":[0.008082105,0.0004826859,0.001343044,0.001445963,0.01475133,0.008273526,0.003288347,0.01163484,0.01250315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01038096,"about_ca_system_score_gemma":0.005362391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07112177,"about_ca_topic_score_gemma":0.06476554,"domain_scores_codex":[0.9938132,0.003590949,0.0001253609,0.0005765508,0.001346443,0.0005475144],"domain_scores_gemma":[0.9959757,0.001682985,0.0001997792,0.000700278,0.001056023,0.0003852831],"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":[0.00003819383,0.00003158667,0.0002978627,0.0001133174,0.00002180914,0.0002433451,0.008503645,0.0001492393,0.0003438563,0.7639587,0.1971356,0.02916286],"study_design_scores_gemma":[0.000004262435,0.000004893682,0.000192801,0.00005850599,0.000002512162,0.0001070185,0.001280997,0.0000531798,0.00006507678,0.01174785,0.9864742,0.000008575797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007752589,0.04940993,0.008159383,0.2162193,0.03014192,0.00003364651,0.0002350455,0.0005934838,0.6874548],"genre_scores_gemma":[0.142519,0.01656107,0.004356899,0.02350918,0.01818555,0.0001195641,0.0001587354,0.000843262,0.7937467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07112177,"threshold_uncertainty_score":0.1476927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04160938669924546,"score_gpt":0.2488083224693627,"score_spread":0.2071989357701173,"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."}}