{"id":"W2000788626","doi":"10.1016/j.visres.2008.07.015","title":"Luminance and contrast cues are integrated in global shape detection with contours","year":2008,"lang":"en","type":"article","venue":"Vision Research","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Australian Research Council","keywords":"Luminance; Contrast (vision); Pooling; Optics; Computer vision; Artificial intelligence; Masking (illustration); Stimulus (psychology); Polarity (international relations); Computer science; Mathematics; Physics; Psychology; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004515225,0.00009247453,0.0001255933,0.0001452911,0.0003449095,0.00008701571,0.0001311243,0.00007408247,0.00009573987],"category_scores_gemma":[0.0004725413,0.0000691424,0.00001162328,0.0009346746,0.0003653357,0.0002007122,0.00004831605,0.0003193867,0.00005505958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008298681,"about_ca_system_score_gemma":0.0000729537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001313574,"about_ca_topic_score_gemma":0.0004120617,"domain_scores_codex":[0.998367,0.0002958463,0.0001266487,0.0003854392,0.0005173029,0.000307756],"domain_scores_gemma":[0.9994907,0.0001121497,0.00003550287,0.0001128958,0.0001456081,0.0001031076],"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":[0.0008967335,0.0002295635,0.0132393,0.00003924449,0.000001307866,0.0002684052,0.0006532004,0.000006618556,0.8380426,0.0004469501,0.0003465226,0.1458296],"study_design_scores_gemma":[0.003838004,0.003117289,0.4846677,0.0006837831,0.000003008448,0.0005258982,0.003344164,0.03844704,0.4592558,0.001677062,0.00392282,0.0005174223],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977986,0.00005411853,0.0007283017,0.0002903968,0.00004344062,0.0001999423,0.00000690098,0.00005196224,0.0008263178],"genre_scores_gemma":[0.999156,0.000183743,0.00008601219,0.0001524789,0.00001940955,0.00001715356,6.953151e-7,0.000008408954,0.0003761058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4714285,"threshold_uncertainty_score":0.2819545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1136547000347013,"score_gpt":0.4122872145089837,"score_spread":0.2986325144742824,"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."}}