{"id":"W2151517339","doi":"10.1145/2501853","title":"Surface perception of planar abstractions","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Applied Perception","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Planar; Surface (topology); Computer science; Abstraction; Curvature; Perception; Point (geometry); Task (project management); Variety (cybernetics); Ground truth; Artificial intelligence; Geometry; Mathematics; Computer graphics (images)","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":[0.001614027,0.001257407,0.0009018097,0.001474137,0.0004969093,0.002849173,0.001310283,0.0009809168,0.003665101],"category_scores_gemma":[0.0191548,0.0006999096,0.001203868,0.001017689,0.001532425,0.003554748,0.003810792,0.001081671,0.0009139372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006198203,"about_ca_system_score_gemma":0.0006166112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003694427,"about_ca_topic_score_gemma":0.002492512,"domain_scores_codex":[0.9979994,0.000391037,0.00007672634,0.0005109222,0.0008803478,0.0001415873],"domain_scores_gemma":[0.9939147,0.002529301,0.0008483434,0.001495709,0.001005207,0.0002067335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001894268,0.0002163285,0.0545534,0.001303151,0.0004418176,0.0007277063,0.01032505,0.2336794,0.1563329,0.02540694,0.004683611,0.5104353],"study_design_scores_gemma":[0.00006826067,0.0007720367,0.04456955,0.0001782838,0.0001394196,0.0007232921,0.004040677,0.8774321,0.03174818,0.03021542,0.009908753,0.0002040242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.351103,0.0003208992,0.6392389,0.0002050533,0.00004868887,0.0002001367,0.0006680947,0.002456943,0.005758317],"genre_scores_gemma":[0.8855138,0.0002367074,0.1118268,0.0000502158,0.00001189,0.00008668687,0.0009916057,0.0003287592,0.0009534576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003694427,"threshold_uncertainty_score":0.01226097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176125145188555,"score_gpt":0.2551082595985269,"score_spread":0.2374957450796714,"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."}}