{"id":"W2147740085","doi":"10.1177/0956797612457378","title":"Detection of Audiovisual Speech Correspondences Without Visual Awareness","year":2013,"lang":"en","type":"article","venue":"Psychological Science","topic":"Multisensory perception and integration","field":"Psychology","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Stimulus (psychology); Psychology; Sentence; Perception; Audiology; Sensory system; Communication; Face perception; Visual perception; Cognitive psychology; Neuroscience; Artificial intelligence; Computer science","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":[0.0002902004,0.0001857252,0.0002360293,0.0001945991,0.00008658853,0.0003041951,0.0002226909,0.0003370196,0.00182038],"category_scores_gemma":[0.002538058,0.0001349711,0.0001403335,0.00008195839,0.0002356833,0.0006551329,0.0005192591,0.000324951,0.0002895165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001447169,"about_ca_system_score_gemma":0.0001862817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002122489,"about_ca_topic_score_gemma":0.0002632353,"domain_scores_codex":[0.9997264,0.00003812786,0.00001881657,0.00008340893,0.00009968966,0.00003364329],"domain_scores_gemma":[0.9990059,0.0004570877,0.000200415,0.0001004183,0.0001331729,0.0001030688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002803112,0.00001073885,0.0007068438,0.00005364676,0.000003603372,0.0000651398,0.00005478755,0.00002881283,0.9948467,0.0000880765,0.00002082859,0.003840528],"study_design_scores_gemma":[0.00004070121,0.001132004,0.1246634,0.00002157891,0.0000473556,0.001391821,0.0002742375,0.003729858,0.8667075,0.0007994178,0.001172893,0.0000192192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889851,0.0002799788,0.008964702,0.00003556212,0.00003238113,0.00001839569,0.00004044586,0.00007720821,0.00156622],"genre_scores_gemma":[0.9965895,0.00006275151,0.002756883,0.00003537664,0.00001271011,0.00001436326,0.00005478386,0.00001605713,0.0004574866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00182038,"threshold_uncertainty_score":0.006089807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07921873254228345,"score_gpt":0.4537859657790352,"score_spread":0.3745672332367518,"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."}}