{"id":"W2115542716","doi":"10.3389/fpsyg.2013.00267","title":"Aging and Audio-Visual and Multi-Cue Integration in Motion","year":2013,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Multisensory perception and integration","field":"Psychology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Institute of Mental Health; Air Force Office of Scientific Research; Center of Excellence for Learning in Education, Science and Technology; Canadian Institutes of Health Research; Canada Research Chairs; National Science Foundation","keywords":"Percept; Perception; Psychology; Multisensory integration; Cognitive psychology; Audiology; Motion (physics); Duration (music); Communication; Neuroscience; Computer vision; Computer science; Acoustics; Physics","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":[0.0002398336,0.0001485675,0.0002147706,0.0005099423,0.00003729733,0.00002957795,0.00006206199,0.0002505208,0.0007659647],"category_scores_gemma":[0.00004310171,0.000145291,0.00002059362,0.0001775247,0.0001471538,0.0002270411,0.00001558638,0.0003114693,0.0001148104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004671622,"about_ca_system_score_gemma":0.00000367383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003153133,"about_ca_topic_score_gemma":0.0002380767,"domain_scores_codex":[0.9986497,0.0002709527,0.0003308443,0.0004436614,0.00005650446,0.0002483287],"domain_scores_gemma":[0.9996588,0.00002235131,0.000069466,0.0001565917,0.00003178456,0.00006099348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004997637,0.0001851871,0.317541,0.000005656786,0.000008801288,0.0000056565,0.004134372,0.000001474467,0.003457035,0.0003812452,0.01299957,0.66123],"study_design_scores_gemma":[0.002153532,0.00009539039,0.9793662,0.00002607217,0.000003987107,0.00002864989,0.003525986,0.01230332,0.00002532834,0.001249715,0.001060678,0.0001611556],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8722411,0.0004534133,0.120687,0.0009944213,0.002000578,0.000423585,0.000001933243,0.00003952159,0.003158398],"genre_scores_gemma":[0.9837521,0.0002348201,0.01401755,0.001023185,0.000066746,0.000113139,0.00002266373,0.00001740734,0.0007523836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6618252,"threshold_uncertainty_score":0.8386776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03672009360850421,"score_gpt":0.3707161467907911,"score_spread":0.3339960531822869,"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."}}