{"id":"W4312194511","doi":"10.1016/j.visres.2022.108164","title":"Eye movements during optic flow perception","year":2022,"lang":"en","type":"article","venue":"Vision Research","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Thomas University; University of British Columbia","funders":"Institute of Aging; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Michael Smith Health Research BC","keywords":"Eye movement; Fixation (population genetics); Psychology; Perception; Saccade; Computer vision; Visual perception; Saccadic masking; Artificial intelligence; Communication; Computer science; Neuroscience; Medicine","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001307727,0.00009161475,0.00008848079,0.0003953391,0.002094027,0.0001722338,0.0004342427,0.00003539738,0.01480885],"category_scores_gemma":[0.0002627421,0.00008947893,0.00004670713,0.0009070954,0.00007841273,0.0001903537,0.0006540444,0.0006264891,0.001302587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002104313,"about_ca_system_score_gemma":0.0000527788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001218046,"about_ca_topic_score_gemma":5.426112e-7,"domain_scores_codex":[0.9963595,0.0007398701,0.000174212,0.0005050941,0.001761981,0.000459348],"domain_scores_gemma":[0.9994136,0.00007712468,0.00002955006,0.0002815438,0.00006719357,0.0001309597],"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":[0.00008792862,0.0001513074,0.00003219453,0.00002139405,5.971579e-7,0.00002665237,0.0006201927,0.0003579122,0.9871845,0.0001741301,0.0007351353,0.01060808],"study_design_scores_gemma":[0.004708478,0.005432404,0.03085585,0.0001525588,0.000007644509,0.0001282104,0.01257585,0.3313342,0.5496567,0.009621652,0.05422875,0.001297716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943035,0.00000761406,0.0001922798,0.0005913147,0.0002635863,0.0002502606,0.00001090895,0.0001104329,0.004270075],"genre_scores_gemma":[0.9806061,0.00002430157,0.0002896542,0.0003455884,0.00006889241,0.00009000717,0.000005531554,0.00002377104,0.01854615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4375278,"threshold_uncertainty_score":0.999475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1433526807193819,"score_gpt":0.4569801989464072,"score_spread":0.3136275182270254,"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."}}