{"id":"W2020858126","doi":"10.1068/p5437","title":"Spatial and Temporal Properties of Stereoscopic Surface Interpolation","year":2005,"lang":"en","type":"article","venue":"Perception","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Interpolation (computer graphics); Stereoscopy; Surface (topology); Artificial intelligence; Computer vision; Texture (cosmology); Computer science; Multivariate interpolation; Mathematics; Bisection; Bilinear interpolation; Geometry; Image (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00102084,0.0001606362,0.0003149078,0.0006668872,0.0002279616,0.0004851121,0.0003285767,0.0003167055,0.00225218],"category_scores_gemma":[0.01398232,0.0001847611,0.0002085758,0.000644331,0.000389281,0.0006575487,0.0005684033,0.000506492,0.0002460984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000291497,"about_ca_system_score_gemma":0.0003634454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001430671,"about_ca_topic_score_gemma":0.0007404495,"domain_scores_codex":[0.9993656,0.00007069551,0.00003680873,0.00006902283,0.0003747058,0.00008318282],"domain_scores_gemma":[0.9924979,0.004544066,0.001036412,0.000629808,0.001003452,0.0002883564],"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":[0.002383284,0.0001490567,0.009747504,0.0004410963,0.00004424297,0.0003280959,0.0003731936,0.01796652,0.8856688,0.003384075,0.0004621439,0.07905209],"study_design_scores_gemma":[0.0001148549,0.001564179,0.2470385,0.0000927638,0.0001293838,0.002235998,0.000396008,0.2810633,0.4574261,0.006722855,0.003117022,0.00009905612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421936,0.0007772162,0.04790715,0.0001684736,0.00004536911,0.00007270119,0.000386352,0.0003218,0.008127367],"genre_scores_gemma":[0.9951044,0.0001581437,0.00387154,0.0000229424,0.00001664171,0.0000262412,0.0002327088,0.00006025628,0.0005071707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00225218,"threshold_uncertainty_score":0.007534325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02821483066378722,"score_gpt":0.2804057421746114,"score_spread":0.2521909115108242,"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."}}