{"id":"W1550087630","doi":"10.1007/978-3-540-30551-4_23","title":"Geometric Optimization Problems Over Sliding Windows","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer graphics (images); Mathematical optimization; Mathematics","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":[0.0009003386,0.001251856,0.001687346,0.0009381813,0.0003886777,0.001460294,0.001407568,0.001006312,0.007635797],"category_scores_gemma":[0.002941485,0.0008867393,0.00105778,0.00166875,0.0009850853,0.002937067,0.002097184,0.002416763,0.0008460145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006318878,"about_ca_system_score_gemma":0.0004881104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001245765,"about_ca_topic_score_gemma":0.0008394367,"domain_scores_codex":[0.9995794,0.0001040691,0.00003006455,0.0001018683,0.0001447356,0.000039839],"domain_scores_gemma":[0.9992059,0.0005180724,0.00007746857,0.00008615843,0.00005993459,0.00005253346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001154899,0.000073735,0.0002901125,0.0003090895,0.00007930674,0.00008648888,0.00009038139,0.4692017,0.00367011,0.4000501,0.005323085,0.1207105],"study_design_scores_gemma":[0.00002274028,0.00006812765,0.0001684091,0.00003579013,0.00001959363,0.00005079952,0.00002967318,0.7188904,0.0009711166,0.2743232,0.00540971,0.00001035849],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02245788,0.001704612,0.9645317,0.000280447,0.0001597333,0.00004770344,0.0001340443,0.0001773808,0.0105065],"genre_scores_gemma":[0.4204502,0.006514705,0.5104253,0.000213098,0.0005806344,0.0004326594,0.0009092489,0.0007951445,0.05967901],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007635797,"threshold_uncertainty_score":0.02554429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725328938100285,"score_gpt":0.2349357074300714,"score_spread":0.2176824180490685,"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."}}