{"id":"W2040244314","doi":"10.1167/8.5.10","title":"The contribution of color to global motion processing","year":2008,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Luminance; Chromatic scale; Computer vision; Artificial intelligence; Stimulus (psychology); Color vision; Computer science; Optics; Psychology; Physics; Cognitive psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002548766,0.0004282384,0.0002569155,0.000373768,0.000180709,0.0006201657,0.0002623644,0.0001985076,0.00212881],"category_scores_gemma":[0.00143764,0.000133964,0.0002443786,0.0001951297,0.0003058944,0.0009715608,0.0005367338,0.0003275446,0.0001902832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001748914,"about_ca_system_score_gemma":0.0002033715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006774651,"about_ca_topic_score_gemma":0.0008639325,"domain_scores_codex":[0.9998698,0.00001403904,0.000003319537,0.00003955449,0.0000335865,0.00003957072],"domain_scores_gemma":[0.9995044,0.0001844319,0.00007399962,0.00006477869,0.0001112666,0.00006109707],"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":[0.0007797012,0.00005922237,0.01541921,0.0001954608,0.00005097596,0.0001979029,0.0002626973,0.001544661,0.8585717,0.003861715,0.0001894156,0.1188673],"study_design_scores_gemma":[0.0001352539,0.002557884,0.5403007,0.0001327392,0.0005040823,0.002275576,0.0005785685,0.03795657,0.3869011,0.02264188,0.005889743,0.0001259991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663146,0.001048048,0.02551029,0.0001408923,0.00003412713,0.0000187639,0.00007531185,0.00009191988,0.006766152],"genre_scores_gemma":[0.9934709,0.00043233,0.005134579,0.00004480153,0.00002817707,0.000006179861,0.00005858342,0.00003454158,0.000789818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00212881,"threshold_uncertainty_score":0.007121563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04614141356692607,"score_gpt":0.365809666182735,"score_spread":0.3196682526158089,"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."}}