{"id":"W2084907661","doi":"10.1145/2506206.2506208","title":"Shape perception of thin transparent objects with stereoscopic viewing","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Applied Perception","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stereoscopy; Computer vision; Monocular; Artificial intelligence; Orientation (vector space); Perception; Depth perception; Computer science; Stereopsis; Binocular disparity; Human visual system model; Computer graphics (images); Optics; Geometry; Image (mathematics); Mathematics; Physics; 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":[0.0002570569,0.0003176256,0.0002530017,0.000422218,0.0001020157,0.0005274887,0.0002859484,0.0003478943,0.001249655],"category_scores_gemma":[0.001427782,0.0002399665,0.000395582,0.0002141932,0.0003122104,0.0007494229,0.000860799,0.0002893845,0.0001834159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001855029,"about_ca_system_score_gemma":0.0001924619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001460285,"about_ca_topic_score_gemma":0.001524124,"domain_scores_codex":[0.9997672,0.00004328416,0.00001030386,0.00005153707,0.0001035981,0.00002415664],"domain_scores_gemma":[0.9996279,0.0001336952,0.00007193226,0.0000697,0.0000586219,0.00003798815],"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":[0.0005648662,0.00007006364,0.003409143,0.0001386314,0.00003568726,0.0001608253,0.0004273854,0.003870911,0.9137831,0.0006068628,0.0002691126,0.07666333],"study_design_scores_gemma":[0.0002232111,0.001645232,0.199031,0.00008767637,0.0002591069,0.002067409,0.000964252,0.3002927,0.4831723,0.008954735,0.003100532,0.0002018909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9135118,0.0001382923,0.08360483,0.00006081778,0.00001160295,0.00005170075,0.0001139042,0.0002089809,0.002297967],"genre_scores_gemma":[0.9557595,0.0001519337,0.04334433,0.00006464992,0.00001380915,0.0000233263,0.0001424677,0.00003411097,0.0004659938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001460285,"threshold_uncertainty_score":0.004180491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07159195844725959,"score_gpt":0.3020772846939599,"score_spread":0.2304853262467003,"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."}}