{"id":"W7056100829","doi":"","title":"Effet de L'Eclajrement et du Teint du Locuteur sur L'Intelligibilite Visuelle de la Parole","year":2004,"lang":"fr","type":"article","venue":"Canadian acoustics","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Noise (video); Electrodiagnosis; Phonetics; Background noise","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"],"consensus_categories":[],"category_scores_codex":[0.0005231876,0.0002878015,0.0002171054,0.0001241304,0.0001596201,0.0001488906,0.0002907946,0.00028577,0.0003148616],"category_scores_gemma":[0.0001727143,0.0003581298,0.00009441643,0.000257542,0.0001424636,0.00008147589,0.00003159708,0.0004111624,0.0004730127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002825649,"about_ca_system_score_gemma":0.001769069,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.120164,"about_ca_topic_score_gemma":0.0406901,"domain_scores_codex":[0.9983464,0.00009266254,0.0002973216,0.0002824213,0.0001378824,0.0008432965],"domain_scores_gemma":[0.9981248,0.0002244401,0.0000377699,0.0004329551,0.00007795675,0.001102072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004968971,0.0001600355,0.002139762,0.0002751767,0.0001127265,0.000456711,0.002255613,0.8183383,0.022376,0.03520948,0.1159245,0.002746643],"study_design_scores_gemma":[0.00133658,0.0001146914,0.01528637,0.0003501653,0.0003453049,0.0002890603,0.0004446522,0.2506315,0.008566659,0.01200138,0.7095732,0.001060458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3057609,0.002970294,0.6626994,0.01418135,0.0008883841,0.0007260284,0.001069308,0.0002519035,0.01145237],"genre_scores_gemma":[0.9830025,0.001433123,0.01044399,0.00183267,0.0004435958,0.00005260604,0.00005660914,0.00009580749,0.002639103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6772416,"threshold_uncertainty_score":0.999887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006333228292288579,"score_gpt":0.2153542623902206,"score_spread":0.209021034097932,"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."}}