{"id":"W2568303128","doi":"","title":"Frédéric Léotar. La Steppe musicienne. Analyse et modélisation du patrimoine musical turcique","year":2016,"lang":"fr","type":"article","venue":"MUSICultures","topic":"Diverse Musicological Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Humanities; Geology; Mod; Art; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006827654,0.0007580955,0.0003258907,0.001838928,0.001550719,0.00221038,0.000967056,0.001720083,0.04621414],"category_scores_gemma":[0.002192255,0.0002723833,0.0002598582,0.002958877,0.0005678616,0.002974261,0.0009040957,0.001029403,0.009948073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704412,"about_ca_system_score_gemma":0.0009071123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.073348,"about_ca_topic_score_gemma":0.07553338,"domain_scores_codex":[0.9996958,0.0001071724,0.00001509859,0.00006644868,0.00009178562,0.00002371023],"domain_scores_gemma":[0.9991436,0.0005031393,0.00005327647,0.0000344479,0.0001974109,0.00006814203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001298127,0.0001194202,0.003083828,0.0008320994,0.00004238966,0.0005182177,0.006866022,0.00234446,0.0008721412,0.131722,0.4338415,0.4196282],"study_design_scores_gemma":[0.00001788176,0.00002588185,0.006925552,0.000464874,0.00003531023,0.0002732384,0.005895585,0.004547579,0.001053979,0.03065157,0.9500726,0.00003588373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03733153,0.279991,0.06616618,0.2840606,0.01366755,0.0002461572,0.006336074,0.001777857,0.3104231],"genre_scores_gemma":[0.3328125,0.09412595,0.01390951,0.005976005,0.001998112,0.0001643948,0.001558606,0.0006031414,0.5488517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.073348,"threshold_uncertainty_score":0.1546017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04832474672279918,"score_gpt":0.236700545311751,"score_spread":0.1883757985889518,"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."}}