{"id":"W2103196504","doi":"10.3389/fnint.2012.00082","title":"Are the senses enough for sense? Early high-level feedback shapes our comprehension of multisensory objects","year":2012,"lang":"en","type":"article","venue":"Frontiers in Integrative Neuroscience","topic":"Multisensory perception and integration","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Medical Research Council; Jack Kent Cooke Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Interactivity; Sensory system; Feed forward; Psychology; Cognition; Computer science; Object (grammar); Comprehension; Multisensory integration; Cognitive psychology; Neuroscience; Cognitive science; Artificial intelligence","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":[0.0003754277,0.0003121693,0.0004272232,0.00025868,0.0002393043,0.00004300506,0.00031122,0.0001572417,0.00004707631],"category_scores_gemma":[0.0007764279,0.0002062487,0.0001527015,0.0004628073,0.0004695479,0.0003749566,0.0000495307,0.0004000517,0.00003860412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009217238,"about_ca_system_score_gemma":0.00002707079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002254483,"about_ca_topic_score_gemma":0.00009055636,"domain_scores_codex":[0.9975482,0.0005422638,0.0004884822,0.0005242969,0.0003325602,0.0005641687],"domain_scores_gemma":[0.9985315,0.0002619345,0.0004565391,0.0003599086,0.0002752003,0.000114939],"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":[0.001686819,0.001789671,0.2005759,0.0000904667,0.00005817404,0.00002982774,0.1047999,0.0004008189,0.4989919,0.008611779,0.1615517,0.02141303],"study_design_scores_gemma":[0.0009140991,0.0002542569,0.9177963,0.00009751025,0.00001925981,0.00002352118,0.06554954,0.003278744,0.008434232,0.0001290826,0.003217783,0.0002857148],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961326,0.0001566838,0.02824368,0.0005829193,0.007565521,0.001002769,0.0002159978,0.00005496916,0.0008514749],"genre_scores_gemma":[0.988098,0.00002835064,0.006761593,0.001106234,0.0001817553,0.00009039632,0.000006366558,0.0000283756,0.0036989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7172204,"threshold_uncertainty_score":0.8410577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1206474178233515,"score_gpt":0.3580211613135071,"score_spread":0.2373737434901557,"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."}}