{"id":"W4320495309","doi":"10.1101/2023.02.11.528121","title":"Curvature coding in early visual system revealed by scale variance during adaptation to flashing circles","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Flashing; Coding (social sciences); Curvature; Adaptation (eye); Variance (accounting); Scale (ratio); Computer science; Mathematics; Statistics; Physics; Geometry; Geography; Optics; Cartography; Economics; Chemistry","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":[0.0001287909,0.0001183394,0.0001799655,0.000263075,0.00009795628,0.0002491698,0.0001275431,0.0001794258,0.000880759],"category_scores_gemma":[0.001108501,0.0001361269,0.0001655413,0.0001786998,0.000259428,0.0001892455,0.0002507578,0.0004835586,0.00009697114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001804461,"about_ca_system_score_gemma":0.0001021545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001198689,"about_ca_topic_score_gemma":0.001072044,"domain_scores_codex":[0.9999321,0.000009686289,0.000004319048,0.00001611881,0.00002261926,0.00001517868],"domain_scores_gemma":[0.999643,0.0001130589,0.00009201941,0.00004541697,0.00005032218,0.00005629193],"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":[0.0002240092,0.00002129421,0.004047875,0.00001805448,0.0000134462,0.0000678305,0.0001216826,0.0001628736,0.9911613,0.00009136927,0.00003933774,0.004030785],"study_design_scores_gemma":[0.00002424397,0.0003295758,0.869095,0.00001186315,0.00003460536,0.0003897978,0.0001118589,0.007593035,0.1215751,0.0005158184,0.000290499,0.00002850303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980463,0.00007213097,0.001377218,0.00001953657,0.000003854129,0.000007086794,0.00004476963,0.00002652725,0.0004026727],"genre_scores_gemma":[0.9990977,0.00004889356,0.0005431227,0.00001380337,0.000002658574,0.000007200564,0.00005244388,0.000009871427,0.0002244264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001198689,"threshold_uncertainty_score":0.002946377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03360646383727814,"score_gpt":0.2665599313805424,"score_spread":0.2329534675432643,"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."}}