{"id":"W4390898292","doi":"10.7202/1108272ar","title":"Les technologies immersives vues à travers des lunettes d’opéra","year":2023,"lang":"fr","type":"article","venue":"Revue musicale OICRM","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003395469,0.000306831,0.0003709311,0.0002855423,0.0004995908,0.000381012,0.00117541,0.0003110339,0.00010327],"category_scores_gemma":[0.0004957484,0.0003180915,0.000210493,0.002335258,0.001077787,0.000613832,0.0005789197,0.0003640435,0.00114864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001468645,"about_ca_system_score_gemma":0.0000914245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007026037,"about_ca_topic_score_gemma":0.000118767,"domain_scores_codex":[0.997755,0.00008768797,0.0003723148,0.0006873884,0.0002489233,0.0008487164],"domain_scores_gemma":[0.9981325,0.0004300872,0.0001393618,0.0009816107,0.0001337833,0.0001826312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003722126,0.0001353219,0.0002228755,0.0002442864,0.00004935858,0.00005175753,0.004628591,0.0001263092,0.004305829,0.1660154,0.02172234,0.8024942],"study_design_scores_gemma":[0.0004394957,0.0004431858,0.026537,0.0008646215,0.00008829231,0.0001116298,0.005553138,0.02148333,0.01167338,0.05322306,0.8786538,0.0009291213],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5727426,0.02529725,0.1244737,0.2038137,0.01073014,0.001691135,0.0003417837,0.005218685,0.05569093],"genre_scores_gemma":[0.9313276,0.01295995,0.01224208,0.0005027957,0.001964929,0.0001500595,0.00004642212,0.00007709159,0.04072911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8569314,"threshold_uncertainty_score":0.9999271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.109198166090585,"score_gpt":0.3082220993474626,"score_spread":0.1990239332568776,"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."}}