{"id":"W2071396745","doi":"10.1103/physreve.66.026204","title":"Urban growth simulation from “first principles”","year":2002,"lang":"en","type":"article","venue":"Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Urban sprawl; Computer science; Percolation (cognitive psychology); Variety (cybernetics); Statistical physics; Relation (database); Urban planning; Field (mathematics); Work (physics); Diffusion; Economic geography; Artificial intelligence; Mathematics; Physics; Ecology; Geography; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001081344,0.0003776088,0.000624425,0.00001441359,0.0003680858,0.00006466709,0.00029713,0.0001090433,0.001454991],"category_scores_gemma":[0.00006921619,0.0002882051,0.0001529249,0.000184418,0.0001508301,0.0004223697,0.0007103651,0.0003916098,0.001767427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009982185,"about_ca_system_score_gemma":0.000004339575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007174252,"about_ca_topic_score_gemma":0.0000407991,"domain_scores_codex":[0.9977556,0.0001080662,0.0006116232,0.0006960878,0.0004009379,0.0004276109],"domain_scores_gemma":[0.9987212,0.0004134401,0.0001591594,0.0003844416,0.0000273905,0.0002943782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006019275,0.01326247,0.1667088,0.0130311,0.002471175,0.0008484747,0.03183037,0.03874545,0.001358568,0.2146044,0.3452217,0.1713157],"study_design_scores_gemma":[0.0006701319,0.0003144129,0.01223681,0.001018414,0.0003229295,0.000007148975,0.00003888819,0.880544,0.0000941801,0.08758692,0.01645431,0.000711835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8714039,0.008036496,0.01080007,0.006569939,0.001782852,0.00211508,0.0007908487,0.0004922379,0.09800861],"genre_scores_gemma":[0.9952351,0.002889818,0.0003952616,0.000271665,0.0005458122,0.00002795666,0.0001874145,0.00003849628,0.0004084604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8417985,"threshold_uncertainty_score":0.999957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167990864376435,"score_gpt":0.2699862726593502,"score_spread":0.2531871862217067,"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."}}