{"id":"W162189272","doi":"","title":"De Mickey Mouse à Goethe : Établir des liens transdisciplinaires","year":2007,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cégep Marie-Victorin","funders":"","keywords":"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":[0.00549266,0.000902955,0.0004065305,0.001030245,0.00585486,0.005118008,0.001144221,0.00283446,0.02677669],"category_scores_gemma":[0.01431774,0.0003202173,0.000497544,0.0008509082,0.003176337,0.006102427,0.006068979,0.00322436,0.005647473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002974877,"about_ca_system_score_gemma":0.007258705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01754812,"about_ca_topic_score_gemma":0.03471887,"domain_scores_codex":[0.9946075,0.003190742,0.0001037549,0.0005303224,0.001145087,0.0004226502],"domain_scores_gemma":[0.9952644,0.001865738,0.0002824627,0.0005344722,0.0009355734,0.001117296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009984255,0.0004727531,0.006914476,0.0004677801,0.0000625859,0.002308735,0.07246841,0.001339937,0.01842542,0.2599444,0.1305727,0.5060243],"study_design_scores_gemma":[0.0000815958,0.0001923152,0.003340779,0.0002544759,0.00003119708,0.001042617,0.03520505,0.001241721,0.005050635,0.01516762,0.9383215,0.00007040541],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2579842,0.01068234,0.1752452,0.08538537,0.009376041,0.0005822044,0.0004014412,0.004776378,0.4555668],"genre_scores_gemma":[0.6041346,0.002965143,0.06739275,0.005487496,0.0006292692,0.0004757622,0.0002262651,0.001101223,0.3175875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02677669,"threshold_uncertainty_score":0.08957696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05589604591269547,"score_gpt":0.2216956227951259,"score_spread":0.1657995768824305,"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."}}