{"id":"W2007165206","doi":"10.1068/p5315","title":"Disparity and Shading Cues Cooperate for Surface Interpolation","year":2006,"lang":"en","type":"article","venue":"Perception","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Shading; Computer vision; Photometric stereo; Monocular; Projection (relational algebra); Computer science; Artificial intelligence; Interpolation (computer graphics); Surface (topology); Process (computing); Sensory cue; Mathematics; Image (mathematics); Algorithm; Computer graphics (images); Geometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001414246,0.0007092813,0.000851872,0.0004115845,0.0003481355,0.0008529522,0.0005768099,0.0008565816,0.001619557],"category_scores_gemma":[0.009679774,0.0007234163,0.0005036555,0.0002450083,0.0006417943,0.001542159,0.002190495,0.001018323,0.0003907905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003496695,"about_ca_system_score_gemma":0.0005164839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007372497,"about_ca_topic_score_gemma":0.0006392963,"domain_scores_codex":[0.9987061,0.0003125407,0.00008716136,0.000260057,0.0004034519,0.0002306446],"domain_scores_gemma":[0.9946331,0.002426633,0.0007750047,0.001287061,0.0004732993,0.000404973],"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":[0.0007467504,0.00008377981,0.004557664,0.000101407,0.00002988366,0.0001299026,0.0003041391,0.001932157,0.9621815,0.001311376,0.0001131397,0.02850832],"study_design_scores_gemma":[0.0003749456,0.002684543,0.09865278,0.00005468231,0.0001769203,0.0007827986,0.0004046195,0.1081342,0.7776174,0.008108558,0.002861544,0.000146993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665682,0.0002076257,0.03111327,0.0001173214,0.00002247847,0.00003788757,0.00002708625,0.0002231574,0.001682951],"genre_scores_gemma":[0.98896,0.00005192848,0.01048869,0.0000328109,0.000004171068,0.00001659731,0.00003174657,0.00004103409,0.0003729632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001619557,"threshold_uncertainty_score":0.00747931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05666493523007892,"score_gpt":0.332487426405031,"score_spread":0.2758224911749521,"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."}}