{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001004862,0.0008342381,0.0005761522,0.0008175674,0.0003106591,0.002161621,0.0008184458,0.0009477278,0.005794022],"category_scores_gemma":[0.01819805,0.0004235368,0.0006450748,0.0004528724,0.0007151895,0.003005973,0.002630414,0.0006270384,0.0004160536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003008856,"about_ca_system_score_gemma":0.0003231606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002402998,"about_ca_topic_score_gemma":0.00184659,"domain_scores_codex":[0.9985897,0.0004612356,0.00007249521,0.000156024,0.0005348463,0.0001856764],"domain_scores_gemma":[0.9885329,0.008903164,0.0006073278,0.001013594,0.0005784205,0.0003645965],"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":[0.007888746,0.001290929,0.01885972,0.003943149,0.0004145963,0.001154893,0.009883577,0.1066333,0.3205895,0.01551419,0.005652388,0.508175],"study_design_scores_gemma":[0.0007749593,0.008605585,0.1140722,0.0008042402,0.0009070333,0.003518627,0.006883198,0.6433306,0.1744735,0.01958385,0.02638484,0.0006614584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8689878,0.001249517,0.1079978,0.0002866925,0.0001187681,0.0001737983,0.0003613736,0.001807365,0.01901679],"genre_scores_gemma":[0.9606279,0.0003604751,0.03742165,0.00004681449,0.00002203537,0.00005115799,0.0002418832,0.000205121,0.00102292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005794022,"threshold_uncertainty_score":0.01938289,"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."}}