{"id":"W2162664377","doi":"10.1145/1140491.1140531","title":"Multiple perspectives in computer graphics","year":2006,"lang":"en","type":"article","venue":"","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"The Renaissance; Graphics; Computer science; Perspective (graphical); Computer graphics; Painting; Architecture; Computer graphics (images); 2D computer graphics; Perception; Real-time computer graphics; History of computing; Human–computer interaction; 3D computer graphics; Visual arts; Artificial intelligence; Art; Art history; Epistemology; Algorithm","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":[0.001260905,0.0009282146,0.0007514119,0.001814234,0.001452181,0.006989467,0.0009519205,0.002152977,0.00717483],"category_scores_gemma":[0.002610057,0.0005725682,0.0008340385,0.001580375,0.008110606,0.008420634,0.002778823,0.003447383,0.00122465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444439,"about_ca_system_score_gemma":0.0006414726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279907,"about_ca_topic_score_gemma":0.001366924,"domain_scores_codex":[0.9987296,0.0004316814,0.00007637461,0.00029561,0.0003923545,0.00007440324],"domain_scores_gemma":[0.9989731,0.0004980431,0.00007210238,0.0002021762,0.0001738659,0.00008069786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001663208,0.000006166354,0.0001279805,0.0001443843,0.00001517196,0.0000673634,0.0006860259,0.00124353,0.0007635053,0.9601749,0.003329182,0.03342519],"study_design_scores_gemma":[0.0000112017,0.00002259605,0.000232251,0.00009308084,0.000009747343,0.0001796882,0.0002243575,0.00393861,0.0004088934,0.9449583,0.04990025,0.00002101482],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02331855,0.1652689,0.4571435,0.02198983,0.004988156,0.0001062916,0.0002252685,0.001085765,0.3258737],"genre_scores_gemma":[0.6831726,0.06426399,0.2116624,0.002063174,0.003822176,0.0001970999,0.0002907582,0.0003199952,0.03420787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00717483,"threshold_uncertainty_score":0.02400213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06186781640578657,"score_gpt":0.3138594142287818,"score_spread":0.2519915978229952,"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."}}