{"id":"W2183745223","doi":"","title":"Sources and Correlates of Performance Enhancement in Audiovisual Speech Perception","year":2014,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Multisensory perception and integration","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Queen's University","keywords":"Illusion; Perception; Speech perception; Task (project management); Speech recognition; Noise (video); Transcription (linguistics); Psychology; Computer science; Cognitive psychology; Linguistics; Artificial intelligence; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.003535376,0.0004355373,0.0004897703,0.001162397,0.000192363,0.001035714,0.0004634459,0.0004738369,0.001234956],"category_scores_gemma":[0.02061588,0.0003118472,0.0003561043,0.0006179982,0.0007430851,0.0005075045,0.001319625,0.0004663183,0.0002454778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002790667,"about_ca_system_score_gemma":0.0002390332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004919657,"about_ca_topic_score_gemma":0.0002859216,"domain_scores_codex":[0.9976436,0.0005892275,0.0002909651,0.0005466486,0.0008031951,0.0001261616],"domain_scores_gemma":[0.9724371,0.01698088,0.006148526,0.002070624,0.001980562,0.0003823385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003418814,0.0005019662,0.5315396,0.001356885,0.001068651,0.001016226,0.004943376,0.002978805,0.3496521,0.00104318,0.000271987,0.1022084],"study_design_scores_gemma":[0.00001793185,0.0003626314,0.9799125,0.00002458639,0.000101931,0.0004978587,0.000254602,0.0009756852,0.01720715,0.000401477,0.0002225265,0.00002103034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936008,0.0006028435,0.003444934,0.00006222492,0.000009152006,0.00002977798,0.0001269021,0.0000519988,0.002071433],"genre_scores_gemma":[0.9989267,0.0001088672,0.0006500954,0.00001200298,0.00001419419,0.00001807097,0.00009839762,0.00001996824,0.000151737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003535376,"threshold_uncertainty_score":0.01869708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125329786113661,"score_gpt":0.2307905954285668,"score_spread":0.2195372975674302,"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."}}