{"id":"W2414551259","doi":"10.3758/s13414-016-1109-4","title":"High visual resolution matters in audiovisual speech perception, but only for some","year":2016,"lang":"en","type":"article","venue":"Attention Perception & Psychophysics","topic":"Multisensory perception and integration","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Gaze; Perception; Fixation (population genetics); Psychology; Visual perception; Sensory cue; Speech recognition; Comprehension; Speech perception; Cognitive psychology; Computer science; Audiology; Communication; Artificial intelligence; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000505909,0.0004635815,0.0004328368,0.0004935581,0.000264733,0.00009004684,0.0002474244,0.0003566813,0.009299889],"category_scores_gemma":[0.00003590803,0.0004031488,0.0004161137,0.0003755367,0.0002201218,0.001051535,0.00003007114,0.000274221,0.008521631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005916815,"about_ca_system_score_gemma":0.00004769401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003479851,"about_ca_topic_score_gemma":0.0001102523,"domain_scores_codex":[0.9963836,0.0003670086,0.0009685965,0.001083485,0.0004999019,0.0006974215],"domain_scores_gemma":[0.998526,0.0001036646,0.0003256335,0.0005698034,0.0002961356,0.0001787758],"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":[0.000880628,0.00102454,0.003883141,0.00003161765,0.00005858247,0.000003866288,0.001058114,0.00001237043,0.7107755,0.006763797,0.06563344,0.2098744],"study_design_scores_gemma":[0.006617464,0.0006648708,0.9755433,0.0001741433,0.00006794167,0.00004231794,0.004190401,0.0005491285,0.0001218838,0.003062103,0.008155072,0.0008114371],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9409207,0.000007681801,0.04840127,0.005382957,0.003220067,0.001082534,0.0001325202,0.0002805796,0.0005717112],"genre_scores_gemma":[0.9687615,0.0001103734,0.002152695,0.003159936,0.00170582,0.0003744735,0.0005023108,0.0001040616,0.02312884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9716601,"threshold_uncertainty_score":0.999842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03103032235894241,"score_gpt":0.3500655445743579,"score_spread":0.3190352222154155,"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."}}