{"id":"W2001088180","doi":"10.5555/338219.338659","title":"Computing contour trees in all dimensions","year":2000,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Simple (philosophy); Computer science; Contour line; Algorithm; Artificial intelligence; Cartography; Geography","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":[0.0007823548,0.001025038,0.001362323,0.002564674,0.001419963,0.003567486,0.001585013,0.001330829,0.008127303],"category_scores_gemma":[0.009273987,0.0008414043,0.001328764,0.003932793,0.001249417,0.007595608,0.00367719,0.001931726,0.003031484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006658987,"about_ca_system_score_gemma":0.0008701975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00237828,"about_ca_topic_score_gemma":0.003563682,"domain_scores_codex":[0.9987624,0.0001221386,0.0001568208,0.0002905429,0.0005061661,0.0001620349],"domain_scores_gemma":[0.9965463,0.001168017,0.0002980516,0.001153858,0.00068663,0.0001471295],"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":[0.0004192408,0.0001383671,0.005069087,0.0004929052,0.0001219926,0.0005938507,0.0008670875,0.1284083,0.02397908,0.2731954,0.01922727,0.5474874],"study_design_scores_gemma":[0.00006356046,0.00009415663,0.001090622,0.00008009433,0.00006712919,0.0004490651,0.0001923893,0.5227549,0.01569329,0.4307282,0.02871815,0.00006836955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0168929,0.0002837254,0.9765013,0.0001121389,0.00006990969,0.00004626771,0.0003673683,0.002021732,0.003704567],"genre_scores_gemma":[0.1030761,0.0003344296,0.8926978,0.0000627118,0.00005353379,0.00009375272,0.001113428,0.0004170005,0.002151248],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008127303,"threshold_uncertainty_score":0.02718854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02725043140270391,"score_gpt":0.2643550684760672,"score_spread":0.2371046370733632,"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."}}