{"id":"W1968270411","doi":"10.1167/5.8.464","title":"Detecting curvature in first and second-order periodic line stimuli","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Curvature; Stimulus (psychology); Luminance; Vernier scale; Spatial frequency; Vernier acuity; Hyperacuity; Mathematics; Amplitude; Psychophysics; Contrast (vision); Optics; Communication; Physics; Psychology; Perception; Neuroscience; Geometry; Cognitive psychology","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":[0.000274197,0.0001824753,0.0002272166,0.0004194841,0.00008867386,0.0002658866,0.0001065121,0.000352745,0.002107261],"category_scores_gemma":[0.001920261,0.0001862105,0.0001535428,0.00008548627,0.0001934594,0.0002399494,0.000232322,0.0001811707,0.0001993256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001636709,"about_ca_system_score_gemma":0.0001084968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006253586,"about_ca_topic_score_gemma":0.001088682,"domain_scores_codex":[0.9998583,0.00002297221,0.000009483829,0.00003879461,0.00004139767,0.00002905588],"domain_scores_gemma":[0.9991508,0.0003452276,0.0001637551,0.00009276746,0.0001135631,0.0001339156],"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":[0.0006436533,0.00003750031,0.01452993,0.00005026737,0.000009920005,0.0001787505,0.0001288028,0.00009390912,0.9758787,0.00009270482,0.00003603654,0.00831988],"study_design_scores_gemma":[0.00004814897,0.001715557,0.82984,0.000009341424,0.00002399235,0.002990384,0.0001153471,0.003576619,0.1611191,0.0002232043,0.000316535,0.00002183752],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987575,0.00003617691,0.000896243,0.00000592135,0.000002218887,0.000007520097,0.00001540637,0.00001439145,0.000264572],"genre_scores_gemma":[0.9980868,0.0000237822,0.001473681,0.000009500418,0.000002839044,0.000005101261,0.00005114967,0.000006774339,0.0003403099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002107261,"threshold_uncertainty_score":0.007049501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03549069328219327,"score_gpt":0.3470212231797289,"score_spread":0.3115305298975357,"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."}}