{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000156553,0.00008870304,0.00008479664,0.00003545339,0.0002653227,0.0001438639,0.00004838812,0.000054922,0.0001803156],"category_scores_gemma":[0.00005815764,0.00008350166,0.00002446035,0.0000874701,0.00004410537,0.0003085845,0.00001840488,0.00005963164,0.00005082189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002684802,"about_ca_system_score_gemma":0.000007343913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004863671,"about_ca_topic_score_gemma":0.00003514282,"domain_scores_codex":[0.9993252,0.00004807707,0.0001307815,0.0002634549,0.00009193973,0.0001405993],"domain_scores_gemma":[0.9997832,0.00004398008,0.00004172187,0.00006312084,0.00003450366,0.00003345075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002590158,0.00002462466,0.0007825487,0.00002314424,2.626448e-7,1.201412e-7,0.0003116833,0.00005685134,0.9930711,0.001743859,0.000314206,0.003645674],"study_design_scores_gemma":[0.001688412,0.0004652722,0.1016856,0.0001393296,0.00003937765,0.00004097159,0.0008111725,0.6884869,0.1798888,0.02030457,0.005608013,0.0008415109],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9371277,0.00000860104,0.06131683,0.000248539,0.0001550415,0.0001744872,0.00001120394,0.0001130425,0.0008445328],"genre_scores_gemma":[0.9964202,0.00002367788,0.002041645,0.0003470206,0.0001170249,0.0000101253,0.00002006188,0.00001263608,0.001007593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8131823,"threshold_uncertainty_score":0.3405099,"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."}}