{"id":"W2521686623","doi":"10.1523/jneurosci.1396-16.2016","title":"Eye Can Hear Clearly Now: Inverse Effectiveness in Natural Audiovisual Speech Processing Relies on Long-Term Crossmodal Temporal Integration","year":2016,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Multisensory perception and integration","field":"Psychology","cited_by":186,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"European Regional Development Fund","keywords":"Multisensory integration; Crossmodal; Speech recognition; Speech perception; Computer science; Speech processing; Active listening; Neurocomputational speech processing; Context (archaeology); Noise (video); Perception; Psychology; Visual perception; Communication; Artificial intelligence; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006666514,0.0001554196,0.000216641,0.0003539589,0.0001186491,0.0001173463,0.0002362955,0.00008519976,0.00006859356],"category_scores_gemma":[0.0003628667,0.00009739615,0.000087578,0.0003205567,0.0002693454,0.0006728853,0.0000202876,0.0004256498,0.00004654861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002061076,"about_ca_system_score_gemma":0.0001068718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000359773,"about_ca_topic_score_gemma":0.0002483178,"domain_scores_codex":[0.9982158,0.0003614391,0.0004694166,0.0002936408,0.0004111833,0.0002485495],"domain_scores_gemma":[0.9991149,0.00008542769,0.0003601196,0.0001431502,0.0001993655,0.00009709148],"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":[0.0007776837,0.0002155917,0.1424429,0.00001161207,0.000001808758,0.0001561722,0.001041842,0.00001423634,0.8109839,0.00005532405,0.0002058192,0.04409307],"study_design_scores_gemma":[0.001058504,0.0008990733,0.9900724,0.0003228094,0.000003988015,0.0001796688,0.0001428046,0.0002813209,0.006771603,0.00002117398,0.0001239153,0.0001227605],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960866,0.0000130857,0.0009288571,0.0007384011,0.001885759,0.0001489549,0.000003202113,0.00001836654,0.0001768028],"genre_scores_gemma":[0.9982015,0.00001442944,0.00010938,0.0004986987,0.0001591358,0.000003336844,5.996219e-7,0.00001352289,0.0009994355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8476294,"threshold_uncertainty_score":0.39717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05155597654881711,"score_gpt":0.3875162474224994,"score_spread":0.3359602708736823,"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."}}