{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001623273,0.0008361019,0.0005616999,0.0003451676,0.0006055699,0.002154842,0.0006154836,0.002458806,0.01635532],"category_scores_gemma":[0.02313311,0.0005100992,0.0003469097,0.0002323018,0.0009011805,0.002010044,0.001366172,0.001183777,0.002407905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003177959,"about_ca_system_score_gemma":0.000481303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002505355,"about_ca_topic_score_gemma":0.001423053,"domain_scores_codex":[0.9984604,0.0005536809,0.000100538,0.0002607874,0.0004506127,0.0001738749],"domain_scores_gemma":[0.9805713,0.01626551,0.0004359052,0.0004585586,0.001751771,0.0005169252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0211036,0.0004572132,0.007832305,0.0006464976,0.00009580437,0.001087173,0.003924884,0.005702537,0.8044521,0.002498618,0.001096184,0.1511031],"study_design_scores_gemma":[0.001053801,0.01451743,0.1383424,0.0004675785,0.0009304076,0.006368799,0.007771041,0.07812461,0.7151186,0.004787947,0.03209934,0.0004181429],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9508072,0.0009462583,0.0359573,0.0004712711,0.000438735,0.00005017516,0.0001189635,0.000555537,0.01065456],"genre_scores_gemma":[0.9718933,0.0004076803,0.01247379,0.0002403156,0.0001249429,0.00005078594,0.0001470727,0.0005078342,0.01415435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01635532,"threshold_uncertainty_score":0.05471396,"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."}}