{"id":"W2087565301","doi":"10.1145/2492494.2492502","title":"How does lighting direction affect shape perception of glossy and matte surfaces?","year":2013,"lang":"en","type":"article","venue":"","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Surface (topology); Computer graphics (images); Perception; Light source; Computer vision; MATLAB; Visualization; Computer science; Artificial intelligence; Terrain; Photometric stereo; Software; Geometry; Optics; Mathematics; Physics; Geography; Image (mathematics); Psychology; Cartography","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":[0.0004634369,0.0002875649,0.0002858748,0.0003238086,0.0001950462,0.001129139,0.0002310165,0.0004920766,0.002463517],"category_scores_gemma":[0.00480332,0.0003375183,0.0003740067,0.000176161,0.0004673931,0.001074846,0.0004499691,0.0005045692,0.0003269649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001985451,"about_ca_system_score_gemma":0.0001540061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001115763,"about_ca_topic_score_gemma":0.001091286,"domain_scores_codex":[0.9997,0.00007716054,0.00001550235,0.00006244136,0.00009764206,0.0000473631],"domain_scores_gemma":[0.9989159,0.0005553076,0.0001494416,0.00009898235,0.0001806782,0.00009978179],"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":[0.001575966,0.000091261,0.01666596,0.0002549572,0.00009276519,0.0001810059,0.0007510481,0.002061883,0.9354334,0.000671977,0.000351471,0.04186824],"study_design_scores_gemma":[0.0002552558,0.002977794,0.650358,0.0001780437,0.0003868137,0.001446941,0.004115886,0.03648136,0.2927053,0.007210025,0.003668234,0.000216359],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876772,0.0002296297,0.009073677,0.00008982333,0.00003705555,0.00003079175,0.00006737228,0.00006297017,0.002731477],"genre_scores_gemma":[0.9953643,0.0002786169,0.003636161,0.00006825885,0.000009976073,0.00001466721,0.00007283337,0.00006766787,0.0004875322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002463517,"threshold_uncertainty_score":0.008241296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03220978396996606,"score_gpt":0.2871758197153516,"score_spread":0.2549660357453855,"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."}}