{"id":"W2048246906","doi":"10.1016/s0925-7721(00)00012-2","title":"Reporting curve segment intersections using restricted predicates","year":2000,"lang":"en","type":"article","venue":"Computational Geometry","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Intersection (aeronautics); Monotone polygon; Combinatorics; Logarithm; Mathematics; Tree (set theory); Point (geometry); Plane (geometry); Colored; Binary logarithm; Algorithm; Computer science; Geometry; Mathematical analysis; Cartography","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":[0.000459477,0.0001845638,0.0002056096,0.0005284756,0.0004043018,0.0002262459,0.0004117141,0.00007404866,0.0003503904],"category_scores_gemma":[0.0002766759,0.0001977763,0.000119073,0.002251037,0.00004744679,0.0006308906,0.00012737,0.0001896287,0.0001236436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001358536,"about_ca_system_score_gemma":0.0002235365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003464353,"about_ca_topic_score_gemma":0.000001707541,"domain_scores_codex":[0.997493,0.00009440778,0.00100482,0.0005352848,0.0005787135,0.0002938231],"domain_scores_gemma":[0.9984963,0.0002480932,0.0005204505,0.0002993951,0.0002877104,0.0001480723],"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":[0.000008713964,0.0001313333,0.001718755,0.00001234292,0.00005042051,0.00002051117,0.0001838927,0.9347217,0.000349654,0.004279631,0.001144124,0.05737888],"study_design_scores_gemma":[0.0003286134,0.00006849394,0.03929788,0.00003204667,0.00001275632,0.0002307427,0.00002304361,0.9460429,0.000314205,0.01082093,0.002568199,0.0002602001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3810515,0.0001312464,0.6167997,0.0002765287,0.0003475923,0.0001307073,0.000005738025,0.0002111317,0.001045858],"genre_scores_gemma":[0.8430774,0.000008733875,0.1556928,0.0003170726,0.0002385854,0.00001360202,0.0001043073,0.0000117893,0.0005357479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4620258,"threshold_uncertainty_score":0.8065082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0383713826338252,"score_gpt":0.2960154613988173,"score_spread":0.2576440787649921,"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."}}