{"id":"W2476434467","doi":"","title":"Efficient View Point Selection for Silhouettes of Convex Polyhedra","year":2008,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Silhouette; Polyhedron; Regular polygon; Computer science; Combinatorics; Convex polytope; Set (abstract data type); Point (geometry); Artificial intelligence; Algorithm; Computer vision; Convex set; Mathematics; Convex optimization; Geometry","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":[0.0009015073,0.001194778,0.001910264,0.001688772,0.0006526772,0.001538754,0.001292523,0.000903454,0.004615774],"category_scores_gemma":[0.004778491,0.0009268479,0.001154723,0.001355672,0.0006196461,0.001713802,0.002158522,0.001442058,0.002103168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004553778,"about_ca_system_score_gemma":0.0006187889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001455248,"about_ca_topic_score_gemma":0.002260575,"domain_scores_codex":[0.9986905,0.0002577006,0.00005364203,0.0002755543,0.0005708036,0.0001516534],"domain_scores_gemma":[0.9984768,0.0006042385,0.0001468573,0.0002857026,0.0003372066,0.0001492179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009322972,0.0001551263,0.0028576,0.000383779,0.00009293007,0.0004619909,0.0006636535,0.07300038,0.08655699,0.01663813,0.007693279,0.8105639],"study_design_scores_gemma":[0.00009561798,0.0002183318,0.00134899,0.00005152888,0.00002599271,0.0003980539,0.0003885508,0.9266943,0.04615504,0.01878115,0.005793264,0.00004921344],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03261942,0.0002306041,0.964324,0.0000745665,0.00002352108,0.0001219519,0.0001524087,0.00119495,0.001258562],"genre_scores_gemma":[0.2248959,0.0003141779,0.7719038,0.00004901177,0.00004785423,0.0001637694,0.0009182367,0.0004090982,0.001298101],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004615774,"threshold_uncertainty_score":0.01544136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04004163966549049,"score_gpt":0.2433798079309951,"score_spread":0.2033381682655046,"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."}}