{"id":"W2741501078","doi":"10.1016/j.landurbplan.2017.06.021","title":"iCity 3D: A geosimualtion method and tool for three-dimensional modeling of vertical urban development","year":2017,"lang":"en","type":"article","venue":"Landscape and Urban Planning","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Urban planning; Population; Computer science; Architecture; Land use; Process (computing); Cadastre; Environmental planning; Environmental science; Civil engineering; Geography; Environmental resource management; Cartography; Engineering","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":[0.0003231076,0.001099892,0.0007442519,0.00136224,0.0007064517,0.00181409,0.002282115,0.001070029,0.01972488],"category_scores_gemma":[0.001146187,0.0008200145,0.001483636,0.001436513,0.0004417348,0.0009047734,0.001534879,0.00143477,0.003623644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006360203,"about_ca_system_score_gemma":0.001451786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01966779,"about_ca_topic_score_gemma":0.02648312,"domain_scores_codex":[0.9998056,0.0000300538,0.00001372064,0.00002778007,0.00009822587,0.00002459071],"domain_scores_gemma":[0.999738,0.00008745886,0.00002419287,0.00004420258,0.00007649804,0.00002954123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001661948,0.0001569924,0.005225488,0.0007086511,0.0003245147,0.0006202482,0.0009580673,0.5448639,0.01455629,0.04788177,0.1203549,0.264183],"study_design_scores_gemma":[0.000028627,0.00001070527,0.0004925263,0.00003852209,0.00002572841,0.0001078293,0.00005921189,0.9311113,0.004545419,0.005635993,0.05789145,0.00005270897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00655843,0.0001284795,0.96239,0.0001743122,0.0001573869,0.00009074434,0.006291714,0.01932468,0.004884269],"genre_scores_gemma":[0.1718848,0.000593874,0.7981781,0.0002698193,0.00009026213,0.0009341489,0.01002427,0.009931794,0.008092904],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01972488,"threshold_uncertainty_score":0.06598628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0247492973052155,"score_gpt":0.2624475456730934,"score_spread":0.2376982483678779,"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."}}