{"id":"W2767439022","doi":"10.5121/ijcga.2017.7401","title":"ICVG : Practical Constructive Volume Geometry for Indirect Visualization","year":2017,"lang":"en","type":"article","venue":"International Journal of Computer Graphics & Animation","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Geometry; Constructive; Visualization; Volume (thermodynamics); Computer science; Constructive solid geometry; Computer graphics (images); Engineering drawing; Mathematics; Engineering; Artificial intelligence; Physics; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001086468,0.0001934617,0.0003063052,0.0009770682,0.0003624352,0.001613462,0.001841583,0.0001299063,0.00000813424],"category_scores_gemma":[0.0004259348,0.0001912255,0.0002741223,0.0002381128,0.0001249836,0.00282439,0.0003603174,0.0002110914,0.000002691024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006911149,"about_ca_system_score_gemma":0.0002432704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008063852,"about_ca_topic_score_gemma":0.000003041283,"domain_scores_codex":[0.9977734,0.0001037772,0.0008014074,0.0002914521,0.000837709,0.0001922166],"domain_scores_gemma":[0.9941356,0.0002233337,0.001932289,0.0004112663,0.003158226,0.0001392807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004331762,0.0001335826,0.004343183,0.00001287778,0.000204871,0.00001435835,0.0002772432,0.00002092241,0.00006028402,0.9753167,0.003040031,0.01653261],"study_design_scores_gemma":[0.001379087,0.0006335519,0.03582486,0.0001486823,0.00004024804,0.0003086282,0.00001383879,0.834789,0.001490009,0.1107672,0.01426362,0.0003412549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01375061,0.00003938797,0.9811196,0.001893441,0.002766133,0.0002237882,0.0000105297,0.0000872942,0.000109204],"genre_scores_gemma":[0.8476006,0.0001072644,0.1508522,0.0005648165,0.0008213093,0.000008988733,0.00001616889,0.00001724471,0.00001140007],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8645496,"threshold_uncertainty_score":0.999423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03352273741942869,"score_gpt":0.3694500211132939,"score_spread":0.3359272836938652,"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."}}