{"id":"W2141214294","doi":"10.1142/s021819590300127x","title":"COMPUTING THE CENTER OF AREA OF A CONVEX POLYGON","year":2003,"lang":"en","type":"article","venue":"International Journal of Computational Geometry & Applications","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Convex polygon; Center (category theory); Mathematics; Regular polygon; Polygon (computer graphics); Simple polygon; Combinatorics; Convex set; Point (geometry); Set (abstract data type); Planar; Polygon covering; Geometry; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003475953,0.0005129094,0.001027417,0.001475023,0.0005318038,0.001109296,0.0008336962,0.0006179302,0.003302447],"category_scores_gemma":[0.003855915,0.0004143501,0.0004793991,0.001165251,0.00071521,0.001818566,0.001466272,0.0005349462,0.0006120303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005456578,"about_ca_system_score_gemma":0.0007392587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001637784,"about_ca_topic_score_gemma":0.002126614,"domain_scores_codex":[0.9994963,0.0000613584,0.0000288179,0.0001388798,0.0001988704,0.0000757597],"domain_scores_gemma":[0.9986821,0.0005771857,0.0002043857,0.0001849859,0.0002347889,0.0001165066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001907053,0.0002415318,0.02686197,0.0005570768,0.0002206674,0.0006886995,0.0005288459,0.3165248,0.06824605,0.04567971,0.0170489,0.5214946],"study_design_scores_gemma":[0.0001095863,0.0002126028,0.004591187,0.00002674396,0.00003697737,0.0003336375,0.0002267979,0.9343484,0.0270637,0.02790396,0.005104232,0.00004212152],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4674033,0.0006583971,0.5172291,0.0004650815,0.00008933873,0.0001597785,0.001156397,0.003184107,0.009654519],"genre_scores_gemma":[0.7945795,0.0002154081,0.2021413,0.00004010188,0.0000555909,0.0001155145,0.001175932,0.0002582852,0.001418256],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003302447,"threshold_uncertainty_score":0.01104784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144681672533184,"score_gpt":0.2792880748208776,"score_spread":0.2648199075675592,"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."}}