{"id":"W1651292946","doi":"10.1023/a:1026509828354","title":"Terrain Reconstruction from Contours by Skeleton Construction","year":2000,"lang":"en","type":"article","venue":"GeoInformatica","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Terrain; Triangulation; Voronoi diagram; Medial axis; Elevation (ballistics); Generalization; Digital elevation model; Contour line; Geography; Computer science; Artificial intelligence; Mathematics; Cartography; Algorithm; Geometry; Remote sensing; Mathematical analysis","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":[0.0005481173,0.001013584,0.001060609,0.002457306,0.0004697301,0.001349071,0.001169968,0.001088073,0.005653858],"category_scores_gemma":[0.002249935,0.001418773,0.001168802,0.001895756,0.0007023364,0.00150911,0.001518173,0.001583926,0.003218047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002948329,"about_ca_system_score_gemma":0.0008707507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003411561,"about_ca_topic_score_gemma":0.004321537,"domain_scores_codex":[0.9995278,0.00005991812,0.0000240034,0.0001283135,0.0002150503,0.00004491068],"domain_scores_gemma":[0.9992819,0.0001926713,0.00006352802,0.0002114578,0.000211439,0.00003904572],"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":[0.0002400974,0.0001029124,0.001567887,0.0002145088,0.00008302271,0.0002261766,0.0002048307,0.1106445,0.05082117,0.01353401,0.006252088,0.8161088],"study_design_scores_gemma":[0.00002744151,0.00006447345,0.001145713,0.00003402937,0.00003437866,0.0003339642,0.00007389338,0.9585379,0.01795605,0.01520707,0.006554613,0.0000305072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006907806,0.00005756922,0.9907706,0.00003433281,0.00001799738,0.00003401969,0.00008598543,0.001321906,0.0007697904],"genre_scores_gemma":[0.1223584,0.0002748679,0.8735529,0.00002979543,0.0000200774,0.0000568373,0.0007502951,0.0006480599,0.002308787],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005653858,"threshold_uncertainty_score":0.01891404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002852297358991957,"score_gpt":0.1824272359654614,"score_spread":0.1795749386064694,"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."}}