{"id":"W2035823949","doi":"10.1016/j.cad.2006.08.007","title":"The spherical visibility map","year":2006,"lang":"en","type":"article","venue":"Computer-Aided Design","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visibility; Polygon (computer graphics); Visibility polygon; Representation (politics); Construct (python library); Face (sociological concept); Computer science; Enhanced Data Rates for GSM Evolution; Surface (topology); Artificial intelligence; Computer vision; Algorithm; Mathematics; Geometry; Polygon covering; Regular polygon; Physics; Optics","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":[0.0002292725,0.0005540607,0.0003840861,0.001177687,0.0004786053,0.002271828,0.0005496379,0.0005640441,0.00824068],"category_scores_gemma":[0.001599664,0.0002905057,0.0003912516,0.0007317833,0.0008128726,0.001775467,0.001710127,0.001091795,0.003654583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003450278,"about_ca_system_score_gemma":0.0006538912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001701548,"about_ca_topic_score_gemma":0.0008404625,"domain_scores_codex":[0.9996073,0.00007096399,0.00001341144,0.00009729264,0.0001670128,0.00004398538],"domain_scores_gemma":[0.9996294,0.00006428512,0.00003562656,0.00008812565,0.0001306226,0.00005195562],"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":[0.00009939399,0.00001425407,0.0004352274,0.00008627268,0.00001703089,0.0001481133,0.0001831213,0.009435754,0.01403476,0.7787892,0.01198577,0.1847711],"study_design_scores_gemma":[0.00002898012,0.00007924405,0.001464257,0.00005423739,0.00002386779,0.0009282384,0.0002339378,0.1539911,0.01571808,0.6300079,0.1974133,0.00005675807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01597644,0.0008665622,0.9049292,0.0004751126,0.000255076,0.0000521474,0.0004268787,0.0009231367,0.07609551],"genre_scores_gemma":[0.6907642,0.002826125,0.2325342,0.0003782378,0.00046896,0.000115984,0.001882515,0.001136288,0.06989359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00824068,"threshold_uncertainty_score":0.0275678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02435625971045294,"score_gpt":0.2713801607557842,"score_spread":0.2470239010453313,"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."}}