{"id":"W4392635836","doi":"","title":"Les Moments Créatifs au MACM : une approche de médiation culturelle inclusive","year":2018,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke","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":[0.01384809,0.001228723,0.000724534,0.004414942,0.009327889,0.01768128,0.004736771,0.004991495,0.01886028],"category_scores_gemma":[0.03586904,0.0008640841,0.001359144,0.003126263,0.01775721,0.01800657,0.01538816,0.003692749,0.002205492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006887328,"about_ca_system_score_gemma":0.009544139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01676616,"about_ca_topic_score_gemma":0.0192058,"domain_scores_codex":[0.9849328,0.009728123,0.0006247005,0.001596922,0.002238138,0.00087924],"domain_scores_gemma":[0.9758039,0.01457128,0.001322823,0.004149267,0.003381404,0.0007712932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001211435,0.0001129536,0.003925961,0.0006560219,0.00007342079,0.0004245992,0.1952075,0.001467355,0.002248124,0.6931641,0.004680455,0.09791849],"study_design_scores_gemma":[0.00006112205,0.0001289615,0.005739189,0.0022302,0.0002345427,0.0007014662,0.2820883,0.01151466,0.004979283,0.4339745,0.2582088,0.000138884],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06975371,0.002158754,0.4351876,0.0167101,0.0006783337,0.001067079,0.000423768,0.001186388,0.4728342],"genre_scores_gemma":[0.8389546,0.0007864508,0.1316854,0.001392637,0.0001166189,0.00131163,0.0001930888,0.0002724173,0.0252872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01886028,"threshold_uncertainty_score":0.07323658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225434824703691,"score_gpt":0.2634576067807942,"score_spread":0.2412032585337573,"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."}}