{"id":"W1991645581","doi":"10.1167/14.15.27","title":"Differentiating between non-oriented and orientation-tuned responses to color contrast using subthreshold summation","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":"McGill University","funders":"","keywords":"Achromatic lens; Chromatic scale; Orientation (vector space); Contrast (vision); Subthreshold conduction; Color vision; Optics; Color contrast; Detector; Physics; Artificial intelligence; Masking (illustration); Spatial frequency; Computer vision; Summation; Isotropy; Computer science; Mathematics; Psychology; Neuroscience; Geometry","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":[0.0006404577,0.0004912302,0.0003819801,0.001088583,0.0001837539,0.0004997832,0.0006147338,0.0003149576,0.001097612],"category_scores_gemma":[0.001137127,0.0002388332,0.0005801537,0.0005217725,0.0003742137,0.00124905,0.0006827989,0.0006194105,0.0003095206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003349597,"about_ca_system_score_gemma":0.0002571962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009145823,"about_ca_topic_score_gemma":0.00201743,"domain_scores_codex":[0.9997146,0.00003563394,0.0000172192,0.00008081108,0.0001004683,0.00005132786],"domain_scores_gemma":[0.9994024,0.0002611604,0.00009666891,0.00008679032,0.00007839261,0.00007464974],"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":[0.0002253368,0.00005652277,0.003757907,0.00008708952,0.00003586989,0.00005947519,0.00007974129,0.0009256271,0.9648496,0.0008889521,0.00005382563,0.02898008],"study_design_scores_gemma":[0.00004090819,0.0006706726,0.1449112,0.00002894284,0.0001696212,0.0009110746,0.00009509744,0.09774331,0.7442726,0.009493479,0.001564921,0.00009811662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7345392,0.001059471,0.2607062,0.00008815174,0.0000424604,0.00008414852,0.0002968342,0.0008218405,0.002361653],"genre_scores_gemma":[0.9171901,0.0006087791,0.08063982,0.0001090267,0.00002563063,0.00007307248,0.0004075688,0.0001481574,0.0007978943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001097612,"threshold_uncertainty_score":0.003671885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05637277483182462,"score_gpt":0.3702212643168412,"score_spread":0.3138484894850166,"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."}}