{"id":"W2121783226","doi":"10.1016/j.envsoft.2006.02.004","title":"iCity: A GIS–CA modelling tool for urban planning and decision making","year":2006,"lang":"en","type":"article","venue":"Environmental Modelling & Software","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":274,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Geographic information system; Computer science; Cellular automaton; Focus (optics); Software; Interface (matter); Urban planning; Data mining; Engineering; Artificial intelligence; Geography; Civil engineering; Cartography","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":[0.0006742265,0.001222467,0.0009179718,0.001126549,0.0008652557,0.002201777,0.002857624,0.00137244,0.04909939],"category_scores_gemma":[0.003234309,0.001081091,0.001521192,0.001316251,0.0005129077,0.002239916,0.001877364,0.001816152,0.007228379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044095,"about_ca_system_score_gemma":0.002253314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03087772,"about_ca_topic_score_gemma":0.0335809,"domain_scores_codex":[0.9997609,0.0000385847,0.00002822171,0.00004600915,0.00009916694,0.00002706725],"domain_scores_gemma":[0.9990564,0.0004165415,0.00005761535,0.0001626206,0.0002217344,0.00008499167],"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":[0.0003421199,0.0001672993,0.002971662,0.0009276443,0.0003604427,0.0006249161,0.0006564966,0.5993405,0.006246506,0.04504526,0.2165855,0.1267316],"study_design_scores_gemma":[0.0001203867,0.00001496817,0.0002728028,0.00006038594,0.00005980098,0.00009332551,0.00004598356,0.8537097,0.002988626,0.01340729,0.1291637,0.00006310512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009808694,0.0001543092,0.8671619,0.0004677052,0.000295872,0.0002678883,0.01804403,0.08299917,0.02080051],"genre_scores_gemma":[0.1495473,0.0006220742,0.7870725,0.0004096779,0.0001003991,0.001263436,0.02025589,0.01729823,0.0234305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04909939,"threshold_uncertainty_score":0.1642538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301703399881497,"score_gpt":0.2121438005119359,"score_spread":0.199126766513121,"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."}}