{"id":"W2570655090","doi":"10.1167/16.12.812","title":"What is Perceptual Curvature?","year":2016,"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":"York University","funders":"","keywords":"Curvature; Tangent; Mathematics; Geometry; Mathematical analysis; Artificial intelligence; Computer vision; Computer science","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":[0.001751864,0.0005019318,0.0006618854,0.001611246,0.0005747383,0.00369102,0.0006868914,0.001177935,0.003942026],"category_scores_gemma":[0.02722336,0.0004625969,0.0005849219,0.0009954851,0.002806245,0.005487601,0.001232179,0.0009120292,0.0006404812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207748,"about_ca_system_score_gemma":0.0006094118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004095456,"about_ca_topic_score_gemma":0.001821508,"domain_scores_codex":[0.9983194,0.0004334215,0.00009687879,0.0004355966,0.0005587226,0.0001558846],"domain_scores_gemma":[0.9914682,0.002751239,0.001403925,0.001259594,0.002415075,0.0007020936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001143581,0.0002248483,0.2868652,0.001960359,0.0007338169,0.0006327176,0.009054812,0.01083213,0.04609596,0.05947016,0.01012355,0.5728628],"study_design_scores_gemma":[0.00005954817,0.0007403731,0.7225417,0.000855373,0.0002668537,0.001908654,0.008087499,0.03909801,0.008635835,0.1938976,0.02353288,0.0003757752],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8458292,0.01566419,0.08106408,0.01278492,0.0005869599,0.0002123366,0.00100369,0.0006624306,0.04219217],"genre_scores_gemma":[0.9939896,0.00135423,0.003249633,0.0002648404,0.00008782489,0.00002749626,0.0001530039,0.00005681465,0.000816609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004095456,"threshold_uncertainty_score":0.01318735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05323565641798244,"score_gpt":0.3631081567099964,"score_spread":0.309872500292014,"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."}}