{"id":"W1983862473","doi":"10.1016/j.dam.2002.11.004","title":"Computing large planar regions in terrains, with an application to fracture surfaces","year":2003,"lang":"en","type":"article","venue":"Discrete Applied Mathematics","topic":"Digital Image Processing Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Terrain; Embedding; Combinatorics; Mathematics; Heuristic; Planar; Graph; Unit sphere; RADIUS; Planar graph; Plane (geometry); Geometry; Computer science; Artificial intelligence; Mathematical optimization; Computer graphics (images); 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":[0.0006448639,0.0008425897,0.001554972,0.001593135,0.0008836035,0.001469105,0.001481686,0.001372822,0.001862317],"category_scores_gemma":[0.004883487,0.0008001553,0.001033153,0.002700571,0.001207726,0.001721111,0.002167344,0.00128231,0.0003072605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005818679,"about_ca_system_score_gemma":0.0005568741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008518476,"about_ca_topic_score_gemma":0.01157397,"domain_scores_codex":[0.9996469,0.00006930574,0.00002047439,0.00009031969,0.000131494,0.000041542],"domain_scores_gemma":[0.997767,0.001659564,0.000133934,0.0001490521,0.0001881618,0.0001023476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003562861,0.00008385189,0.00262199,0.0002354604,0.00007298496,0.0003484015,0.0003538625,0.8276372,0.007987496,0.02639685,0.003126767,0.1307789],"study_design_scores_gemma":[0.00002198091,0.0000229787,0.0003823744,0.000006081043,0.000009767299,0.00007002006,0.00004186443,0.9806376,0.0009005991,0.01714286,0.000755805,0.000008034453],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.130854,0.0009106334,0.8646148,0.0005156872,0.00004451487,0.0000455351,0.0003051415,0.001362375,0.001347285],"genre_scores_gemma":[0.4549319,0.0008442954,0.5411487,0.00007222312,0.0001124105,0.00007300732,0.0005473544,0.0003701089,0.001899894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008518476,"threshold_uncertainty_score":0.01693779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235428866628824,"score_gpt":0.2683974968126367,"score_spread":0.2560432081463485,"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."}}