{"id":"W2179390645","doi":"10.1152/jn.00264.2015","title":"Evidence against perfect integration of sensory information during perceptual decision making","year":2015,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Sensory system; Perception; Coherence (philosophical gambling strategy); Filter (signal processing); Task (project management); Constant (computer programming); Motion (physics); Motion perception; Psychology; Computer science; Cognitive psychology; Artificial intelligence; Mathematics; Neuroscience; Computer vision; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004525555,0.0005334052,0.0005206408,0.0005493802,0.0002097808,0.001269502,0.0009588548,0.0007614255,0.002190488],"category_scores_gemma":[0.01911552,0.0007102668,0.0004520667,0.000281675,0.002096075,0.00282887,0.001776643,0.001525556,0.0002922127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005339269,"about_ca_system_score_gemma":0.0007479721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009176409,"about_ca_topic_score_gemma":0.0008522418,"domain_scores_codex":[0.9978051,0.0003936077,0.0003453006,0.0005536743,0.0006598922,0.0002423955],"domain_scores_gemma":[0.9740845,0.01398607,0.004005917,0.005430968,0.001151433,0.001341118],"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":[0.007734418,0.0009300654,0.0403756,0.001687281,0.0005849635,0.000588495,0.001034343,0.01149405,0.8172531,0.01888949,0.0008588191,0.09856947],"study_design_scores_gemma":[0.0007174477,0.005195697,0.5665169,0.0002442392,0.0004693274,0.001966861,0.0004025941,0.08585127,0.2820059,0.05236732,0.00403314,0.0002292914],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953038,0.001006735,0.04082141,0.0004706113,0.00006399735,0.00004136049,0.0001317121,0.0002192473,0.004206972],"genre_scores_gemma":[0.9916202,0.0002059418,0.0075077,0.000113499,0.00001428215,0.00001935239,0.00009773343,0.0000379652,0.0003833629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004525555,"threshold_uncertainty_score":0.02393371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1402723179765289,"score_gpt":0.3597352674327866,"score_spread":0.2194629494562577,"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."}}