{"id":"W2108375200","doi":"10.1142/s0218195905001841","title":"COMPUTING THE SET OF ALL THE DISTANT HORIZONS OF A TERRAIN","year":2005,"lang":"en","type":"article","venue":"International Journal of Computational Geometry & Applications","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Defense Advanced Research Projects Agency","keywords":"Terrain; Horizon; Mathematics; Combinatorics; Set (abstract data type); Convex hull; Regular polygon; Algorithm; Geometry; Computer science","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":[0.001250887,0.0001658702,0.000255749,0.0004810232,0.0001719464,0.0001178794,0.002294588,0.0000506919,0.000029755],"category_scores_gemma":[0.0001111395,0.0001127931,0.0002702882,0.00107007,0.0002009899,0.0004208699,0.0002797599,0.0002726958,0.0000115019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009713678,"about_ca_system_score_gemma":0.0003291267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009696844,"about_ca_topic_score_gemma":0.00000487788,"domain_scores_codex":[0.9968809,0.000145869,0.001221554,0.0002166402,0.001361959,0.0001730033],"domain_scores_gemma":[0.9947029,0.00144407,0.001401063,0.0003335215,0.002039126,0.00007925751],"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":[0.0000342455,0.0002765487,0.0002571337,0.000014714,0.0004184138,0.000002281794,0.001129074,0.579101,0.0009516233,0.2329137,0.001549794,0.1833515],"study_design_scores_gemma":[0.002148661,0.0004116932,0.01838235,0.0001425867,0.000165805,0.000952896,0.0006797541,0.3952993,0.005152659,0.1594643,0.4166641,0.0005359743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02354645,0.0006196963,0.9626737,0.01204367,0.0003660379,0.0003196218,0.00004735797,0.00001784298,0.0003655872],"genre_scores_gemma":[0.9290031,0.00003660914,0.06941563,0.0005357073,0.0008976968,0.0000199631,0.00003984746,0.000009380378,0.00004211371],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9054566,"threshold_uncertainty_score":0.4599569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01670172683024567,"score_gpt":0.3065674018432316,"score_spread":0.2898656750129859,"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."}}