{"id":"W1268870304","doi":"10.1167/15.12.1135","title":"Position-specific learning in a texture identification task","year":2015,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Stimulus (psychology); Perception; Perceptual learning; Psychology; Artificial intelligence; Pattern recognition (psychology); Fixation point; Visual perception; Discrimination learning; Communication; Cognitive psychology; Mathematics; Computer science; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001256705,0.0006568412,0.0009710144,0.0002368476,0.0002601522,0.0008401045,0.0009991556,0.001077864,0.002385479],"category_scores_gemma":[0.008253363,0.0005168498,0.0004754127,0.0002250867,0.0005169907,0.001258526,0.001109637,0.001736152,0.0007012021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003614043,"about_ca_system_score_gemma":0.0005311542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001414948,"about_ca_topic_score_gemma":0.001885211,"domain_scores_codex":[0.9988128,0.0001422241,0.0001346166,0.0003870375,0.0003862445,0.0001370713],"domain_scores_gemma":[0.9963343,0.001431726,0.0007428128,0.0008839216,0.0002498962,0.0003572943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002320628,0.001740957,0.01147944,0.000215404,0.00007116159,0.0001441952,0.0002729032,0.002679546,0.9323131,0.0002194529,0.0002545162,0.04828871],"study_design_scores_gemma":[0.0004539758,0.01744239,0.2860948,0.00006514289,0.000187554,0.0009548716,0.0001878825,0.07633937,0.6133597,0.002086443,0.00263114,0.0001966777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909064,0.00005460324,0.007523493,0.00004836675,0.00002692498,0.0000910188,0.00006411416,0.0001691656,0.001115948],"genre_scores_gemma":[0.9868717,0.00006942276,0.01039855,0.0001250753,0.00001916575,0.00009968014,0.0002444451,0.00005862185,0.002113191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002385479,"threshold_uncertainty_score":0.007980168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06135837000701371,"score_gpt":0.35756986923239,"score_spread":0.2962114992253763,"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."}}