{"id":"W2282802549","doi":"10.1152/jn.00631.2015","title":"Tactile orientation perception: an ideal observer analysis of human psychophysical performance in relation to macaque area 3b receptive fields","year":2015,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Macaque; Receptive field; Perception; Stimulus (psychology); Psychology; Psychophysics; Orientation (vector space); Observer (physics); Artificial intelligence; Pattern recognition (psychology); Neuroscience; Communication; Computer science; Computer vision; Physics; Mathematics; Cognitive psychology","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":[0.00003075153,0.0001056947,0.0003254849,0.0005190162,0.0000567398,0.000013642,0.0001763912,0.00007539808,0.0001085806],"category_scores_gemma":[0.0002086721,0.00009439734,0.0001315062,0.0008510153,0.00004812934,0.0006100743,0.0000220839,0.000380721,0.00001948381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007392517,"about_ca_system_score_gemma":0.00003600365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003432063,"about_ca_topic_score_gemma":0.0000201488,"domain_scores_codex":[0.9986062,0.0002923818,0.0005069001,0.0002268679,0.000226554,0.0001411073],"domain_scores_gemma":[0.9989558,0.0001384966,0.0003831845,0.0001895331,0.0002118566,0.0001211423],"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":[0.0005377799,0.0002331156,0.00201923,0.00000293034,0.0000206169,0.00001891817,0.002141633,0.05316053,0.941126,0.00007718308,0.00007879545,0.0005832307],"study_design_scores_gemma":[0.0006721136,0.004278622,0.954595,0.00002048934,0.000131932,0.00003805464,0.0007883405,0.01340258,0.02541598,0.0002559788,0.0002460567,0.0001549116],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986942,2.056482e-7,0.0001192304,0.0002045252,0.0004901405,0.00007642792,0.000005029645,0.000007360145,0.0004029164],"genre_scores_gemma":[0.9991848,0.00001344184,0.0001006447,0.0004457824,0.0001626684,0.000003027699,0.000005261051,0.000008736016,0.00007558884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9525757,"threshold_uncertainty_score":0.3849412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09425321356185443,"score_gpt":0.3565464236149326,"score_spread":0.2622932100530782,"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."}}