{"id":"W2567027751","doi":"10.1371/journal.pone.0168304","title":"The Dynamics and Neural Correlates of Audio-Visual Integration Capacity as Determined by Temporal Unpredictability, Proactive Interference, and SOA","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Multisensory perception and integration","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University; Toronto Metropolitan University","funders":"Ontario Ministry of Research and Innovation","keywords":"Stimulus (psychology); Computer science; Predictability; Perception; Visual perception; Speech recognition; Interference theory; Audio visual; Cognitive psychology; Communication; Psychology; Working memory; Cognition; Neuroscience; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001714779,0.0001229556,0.0001725786,0.0000423396,0.0000906159,0.00002758045,0.00006773666,0.0001091937,0.0002386066],"category_scores_gemma":[0.0002219389,0.00006956911,0.00002432951,0.0000490577,0.0004276706,0.0001604192,0.00003072965,0.0001449342,0.00001434616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005037227,"about_ca_system_score_gemma":0.00001075726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000202719,"about_ca_topic_score_gemma":0.0004873073,"domain_scores_codex":[0.9990556,0.0001888175,0.0002634776,0.0002327191,0.0001283729,0.000130966],"domain_scores_gemma":[0.999292,0.0002368516,0.0001300283,0.0001486363,0.000133708,0.00005874908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001516002,0.001765536,0.5520078,0.00004744106,0.0003742913,0.000001154797,0.009112194,6.984371e-8,0.2948742,0.005888586,0.0007948852,0.1336178],"study_design_scores_gemma":[0.004122457,0.00451681,0.795503,0.0004420092,0.0003291494,0.00003732635,0.009598221,0.1247797,0.05699982,0.00295716,0.00004079568,0.0006735907],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967972,0.00002777528,0.0009973601,0.0006595684,0.00009408798,0.0003554949,0.00006577525,0.00003372467,0.0009689906],"genre_scores_gemma":[0.99743,0.00004308901,0.0000859943,0.00004068747,0.00002599043,0.00003833824,0.00002164392,0.000009644626,0.002304573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2434951,"threshold_uncertainty_score":0.2836946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05485640310383105,"score_gpt":0.296049225979969,"score_spread":0.241192822876138,"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."}}