{"id":"W2952863744","doi":"10.1007/s004530010078","title":"Circular Separability of Polygons","year":2001,"lang":"en","type":"preprint","venue":"Algorithmica","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Polygon (computer graphics); Separable space; Combinatorics; Regular polygon; Mathematics; Point (geometry); Line (geometry); Planar; Set (abstract data type); Line segment; Convex set; Computer science; Geometry; Mathematical analysis; Convex optimization; Computer graphics (images)","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":[],"consensus_categories":[],"category_scores_codex":[0.0003235529,0.0001787369,0.0002814721,0.0001728531,0.00005748392,0.0000651213,0.0008866774,0.0001747402,0.00002567182],"category_scores_gemma":[0.00005515122,0.0001915227,0.0001831253,0.0003997394,0.00004885902,0.0001180234,0.0008722158,0.0002799817,0.00002351247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005786225,"about_ca_system_score_gemma":0.0003004876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000703029,"about_ca_topic_score_gemma":0.000001866973,"domain_scores_codex":[0.9984195,0.00009824708,0.0003720708,0.000557849,0.0003633465,0.000189029],"domain_scores_gemma":[0.9985062,0.00007250653,0.0002026379,0.000906027,0.0002301818,0.00008243544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000195282,0.001198922,0.0009896116,0.0006781768,0.0004244523,0.00008648155,0.001458505,0.1287701,0.003263413,0.07377341,0.004770467,0.784567],"study_design_scores_gemma":[0.0003762245,0.00009626518,0.007675031,0.000102831,0.00004878833,0.00005747338,0.000009619334,0.7607206,0.01254712,0.2068941,0.01080893,0.0006630148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03050201,0.0005696946,0.9653507,0.0006691057,0.001013085,0.0002274607,0.00002005847,0.0001086601,0.001539246],"genre_scores_gemma":[0.8653436,0.00003794879,0.1339219,0.0001245707,0.0002817287,0.00002659561,0.00006033404,0.000009641341,0.0001937052],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8348415,"threshold_uncertainty_score":0.7810068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01931249141704982,"score_gpt":0.2689132020810006,"score_spread":0.2496007106639507,"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."}}