{"id":"W7034052827","doi":"","title":"Thesaurus multilingue des Arts de la scène (version 1)","year":2025,"lang":"en","type":"other","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Digital Research Infrastructure for the Arts and Humanities","keywords":"Interoperability; Cultural heritage; Thesaurus; Work (physics); The arts; Indonesian","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":[0.001234968,0.001064143,0.0008997635,0.006236585,0.001178463,0.005295117,0.001444685,0.001309576,0.1279239],"category_scores_gemma":[0.005784038,0.0007687459,0.0009605469,0.005980945,0.0007804976,0.004244159,0.002945886,0.001739877,0.06939465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141947,"about_ca_system_score_gemma":0.002407223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01054778,"about_ca_topic_score_gemma":0.008479224,"domain_scores_codex":[0.999069,0.0001534163,0.0002241487,0.0001633361,0.0003400122,0.00005007142],"domain_scores_gemma":[0.9981276,0.0005438903,0.0001169202,0.0003703082,0.0007083466,0.0001328703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003526979,0.00007875023,0.000689636,0.003450368,0.00007301447,0.00051937,0.0015942,0.0009806744,0.00677061,0.04468837,0.6616206,0.2791817],"study_design_scores_gemma":[0.00002313814,0.00001115861,0.0006220693,0.0001920475,0.000009392308,0.0004030073,0.0001247741,0.0003350406,0.001044656,0.002549328,0.9946568,0.00002870452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.007366905,0.006019489,0.255318,0.001894722,0.003492529,0.001898181,0.4083188,0.04959358,0.2660978],"genre_scores_gemma":[0.03565453,0.004427422,0.2552293,0.001224805,0.0008175428,0.002378525,0.5175278,0.03865555,0.1440846],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1279239,"threshold_uncertainty_score":0.427948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030735418322082,"score_gpt":0.245311033416415,"score_spread":0.2350036792331942,"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."}}