{"id":"W2762436780","doi":"10.1145/3131277.3132178","title":"Visibility perception and dynamic viewsheds for topographic maps and models","year":2017,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"CMG Reservoir Simulation Foundation","keywords":"Viewshed analysis; Legibility; Visibility; Computer science; Terrain; Usability; Perception; Visualization; Human–computer interaction; Artificial intelligence; Computer graphics (images); Computer vision; Cartography; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000163242,0.0000756217,0.00009279296,0.00004136902,0.0003268514,0.0002441668,0.000246386,0.00003222963,0.000006478178],"category_scores_gemma":[0.00001958856,0.00006119018,0.0000412121,0.00001788679,0.00007075855,0.001241305,0.0001589423,0.00004200207,0.00000288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001081727,"about_ca_system_score_gemma":0.000006904075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005436058,"about_ca_topic_score_gemma":0.00004456899,"domain_scores_codex":[0.9994365,0.00001522538,0.00008163728,0.0002911653,0.00005328213,0.0001222071],"domain_scores_gemma":[0.9994102,0.00003017926,0.00004769925,0.0003956097,0.00007335722,0.00004293682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001462751,0.0002558066,0.02149917,0.0002482306,0.0001109699,0.000004846048,0.005667141,0.00001553345,0.1303314,0.5894405,0.002281469,0.2499986],"study_design_scores_gemma":[0.0005016365,0.0001897187,0.3948307,0.00001895483,0.00001090001,0.00001038445,0.0002091969,0.4992081,0.0004572776,0.1039708,0.0003896074,0.0002027255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3552437,0.00004202382,0.640128,0.0007040164,0.0001057969,0.0001831768,0.000004649177,0.00000835533,0.003580211],"genre_scores_gemma":[0.9913757,0.00006910373,0.00797384,0.0002571434,0.000009930256,0.00001258985,0.000002355509,0.00000280417,0.000296558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6361319,"threshold_uncertainty_score":0.2513909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334363898025702,"score_gpt":0.3066470788159386,"score_spread":0.2833034398356815,"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."}}