{"id":"W2236315680","doi":"","title":"MODELLING THE FUTURE OF LAND USE, TRANSPORTATION AND THE ENVIRONMENT IN THE WINDSOR CMA, ONTARIO, CANADA","year":2012,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Windsor; Environmental planning; Geography; Land use; Engineering; Environmental resource management; Environmental science; Civil engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003393212,0.000490899,0.0002452324,0.0007248662,0.001524002,0.0025425,0.001009762,0.0005947809,0.003655245],"category_scores_gemma":[0.0007731871,0.000300561,0.0005913179,0.002137852,0.0006459493,0.0008550265,0.0005923293,0.0005254418,0.0003470909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03865505,"about_ca_system_score_gemma":0.02992904,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924219,"about_ca_topic_score_gemma":0.9965926,"domain_scores_codex":[0.9997075,0.00004630195,0.0000122337,0.00004937991,0.00008665238,0.00009789783],"domain_scores_gemma":[0.9996483,0.00005451927,0.00003219589,0.00001162883,0.0002000089,0.00005342399],"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":[0.0001296506,0.00009734276,0.1059088,0.0002499772,0.0001265337,0.00106133,0.00171276,0.8025485,0.001969963,0.03832704,0.01757419,0.03029394],"study_design_scores_gemma":[0.00005564207,0.00008682598,0.09660286,0.0002422864,0.0001135568,0.0001902972,0.007291035,0.7987954,0.0006766192,0.008057863,0.08776627,0.0001214139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8314412,0.003574111,0.0205359,0.004537856,0.0001389233,0.0003550407,0.01837764,0.000163635,0.1208756],"genre_scores_gemma":[0.936562,0.003195987,0.008636219,0.0001085638,0.00001864953,0.0001273621,0.003721779,0.00004597575,0.04758348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03865505,"threshold_uncertainty_score":0.2804633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007461035292418,"score_gpt":0.2017770656200466,"score_spread":0.1817024552671224,"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."}}