{"id":"W2068207614","doi":"10.1167/14.10.255","title":"Neural Signals Underlying the Convexity Context Effect","year":2014,"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":"Convexity; Context (archaeology); Perception; Regular polygon; Amplitude; Homogeneous; Psychology; Mathematics; Interpolation (computer graphics); Figure–ground; Audiology; Cartography; Communication; Geometry; Geography; Optics; Physics; Artificial intelligence; Computer science; Combinatorics; 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":[0.0002035488,0.0002568911,0.0002189419,0.000226629,0.0001109988,0.0003702632,0.0001441651,0.0002457635,0.002148748],"category_scores_gemma":[0.002420648,0.0002047157,0.0001789184,0.0001020788,0.0003625234,0.0003381296,0.000575431,0.0004342207,0.0001456433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001338175,"about_ca_system_score_gemma":0.00009343024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005265928,"about_ca_topic_score_gemma":0.0006705256,"domain_scores_codex":[0.9998418,0.00003177634,0.000008929825,0.00004420181,0.00004665059,0.00002662134],"domain_scores_gemma":[0.9994049,0.0002693647,0.0001538853,0.00007065259,0.00005144126,0.0000496723],"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":[0.0007994862,0.00003326207,0.00817711,0.00006628151,0.00002082269,0.0003371967,0.0001698192,0.0005406984,0.9733864,0.0004102588,0.0001326893,0.01592603],"study_design_scores_gemma":[0.00004398915,0.000558909,0.9321951,0.00002301318,0.00003980305,0.0007612323,0.0001483901,0.004876393,0.05916657,0.001682048,0.0004827917,0.00002177764],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950857,0.0001109629,0.00275738,0.00004743492,0.0000130146,0.00001909429,0.00008019701,0.00003509627,0.001851156],"genre_scores_gemma":[0.9984238,0.00005783069,0.001138037,0.00001982171,0.000005784655,0.00001103534,0.00005129813,0.00001069775,0.0002815459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002148748,"threshold_uncertainty_score":0.007188261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09567658496705093,"score_gpt":0.387542294549985,"score_spread":0.2918657095829341,"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."}}