{"id":"W570643029","doi":"10.1068/b35107","title":"Development of Prototype Urbansim Models","year":2010,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Computer science; Process (computing); Reputation; Operations research; Management science; Data science; Process management; Systems engineering; Engineering; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.0006401599,0.000102729,0.0001241604,0.00006971731,0.0004315292,0.00003539793,0.00005725874,0.0001084867,0.00002835613],"category_scores_gemma":[0.00002392634,0.0001004758,0.00001159992,0.00004974241,0.0001370276,0.0001473932,0.000007985463,0.0001436657,0.00000198708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006052444,"about_ca_system_score_gemma":0.00006579735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002182249,"about_ca_topic_score_gemma":0.000002884875,"domain_scores_codex":[0.9991999,0.00005008631,0.0001925467,0.0001850158,0.0002002347,0.0001722389],"domain_scores_gemma":[0.9996073,0.0001265987,0.00008851419,0.00006448726,0.00001117128,0.0001019784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004920276,0.0001385487,0.2638085,0.00008402266,0.0001007184,0.00003324,0.485221,0.2137594,0.006328434,0.01083102,0.001006717,0.01819636],"study_design_scores_gemma":[0.006244447,0.0009842505,0.4286957,0.001446476,0.0003692989,0.00003012392,0.07091623,0.1402412,0.01078259,0.01048119,0.3256646,0.00414384],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7112988,0.0005720776,0.2825386,0.00006702609,0.0001414137,0.0004313741,0.000003850076,0.00008784966,0.004858978],"genre_scores_gemma":[0.8764118,0.00002467703,0.1232079,0.0000195978,0.00004243473,0.00001745677,0.00001901086,0.000008221904,0.0002489196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4143047,"threshold_uncertainty_score":0.4097285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04832601091166625,"score_gpt":0.2645575656151677,"score_spread":0.2162315547035015,"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."}}