{"id":"W2769969171","doi":"10.1145/3130800.3130823","title":"BigSUR","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; 3D city models; Parsing; Facade; Polygon mesh; Scale (ratio); Data mining; Artificial intelligence; Computer graphics (images); Visualization; Cartography; 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":[0.001608757,0.001943003,0.001328139,0.001754432,0.001506389,0.004514351,0.00427204,0.002023957,0.1338421],"category_scores_gemma":[0.005122856,0.001275044,0.00219552,0.002528196,0.0009545248,0.006204605,0.006662996,0.002395779,0.1131409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004186,"about_ca_system_score_gemma":0.001798525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004169951,"about_ca_topic_score_gemma":0.005753882,"domain_scores_codex":[0.9983341,0.0002112296,0.000108332,0.0003760497,0.0007266543,0.0002436751],"domain_scores_gemma":[0.9981322,0.0002678445,0.00009249576,0.0009020308,0.0004163387,0.000189149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007585361,0.0001011227,0.002110766,0.0008772913,0.0001361112,0.0002837238,0.0004413703,0.005528653,0.005494212,0.04725666,0.7925475,0.1444641],"study_design_scores_gemma":[0.0001353407,0.00007933666,0.001157195,0.0001327181,0.00006066106,0.0002588734,0.0001613633,0.01930632,0.008368353,0.0449851,0.925255,0.00009970244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.009289846,0.003082661,0.2222937,0.002861768,0.001799301,0.000674299,0.1126831,0.4248723,0.222443],"genre_scores_gemma":[0.0990873,0.003404398,0.2338154,0.004228495,0.0005563939,0.001860618,0.4562928,0.07588898,0.1248656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1338421,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02485790820213919,"score_gpt":0.2658250356160625,"score_spread":0.2409671274139233,"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."}}