{"id":"W2001552595","doi":"10.1007/s00454-006-1275-6","title":"Multi-Pass Geometric Algorithms","year":2006,"lang":"en","type":"article","venue":"Discrete & Computational Geometry","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Convex hull; Regular polygon; Geometric programming; Algorithm; Computational geometry; Combinatorics; Linear programming; Mathematical optimization; Geometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004787654,0.0003474555,0.000309568,0.001465897,0.0004060178,0.0004444686,0.000896071,0.0001258069,0.00009458861],"category_scores_gemma":[0.00009606362,0.0003559466,0.000217393,0.004807756,0.00007816735,0.0009541778,0.0003243939,0.0002426211,0.0003942313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001311723,"about_ca_system_score_gemma":0.0001789595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008808787,"about_ca_topic_score_gemma":0.000006639902,"domain_scores_codex":[0.9968008,0.000109734,0.0006389147,0.0008463837,0.001059673,0.0005445057],"domain_scores_gemma":[0.9982723,0.0004118576,0.000240607,0.0004448037,0.0004495202,0.0001809316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001100181,0.0004272768,0.003224817,0.00003056502,0.00007293951,0.00004762496,0.00006717235,0.838908,0.0004476481,0.1047339,0.005849234,0.04617989],"study_design_scores_gemma":[0.001012148,0.00008317483,0.2090253,0.0000132663,0.00001393827,0.00006779417,0.00001374581,0.7605293,0.0003606658,0.02126133,0.007077001,0.0005423093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02660829,0.0006960067,0.9688197,0.0007009528,0.0008062808,0.000258255,0.00003783391,0.0003904123,0.001682212],"genre_scores_gemma":[0.6222526,0.000005254102,0.3755617,0.0003664935,0.0003497509,0.00002718228,0.0003868573,0.00001953326,0.00103067],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5956443,"threshold_uncertainty_score":0.9998893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487991024149817,"score_gpt":0.2603200952938355,"score_spread":0.2454401850523374,"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."}}