{"id":"W3192790252","doi":"10.3390/su13168706","title":"Optimal Urban Transit Investment Model and Its Application","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Toll; Investment (military); Transport engineering; Transit (satellite); Urban transit; Network planning and design; Service (business); Transportation planning; Operations research; Public transport; Computer science; Business; Economics; Engineering; Economy; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0004541966,0.0006769878,0.0006074425,0.0005695128,0.0004224771,0.001157365,0.001268453,0.001115234,0.005015091],"category_scores_gemma":[0.001034974,0.0004230122,0.0006833174,0.001033881,0.0005958141,0.001264057,0.0006496865,0.0008962021,0.0004302016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00359708,"about_ca_system_score_gemma":0.002415261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03355484,"about_ca_topic_score_gemma":0.02003228,"domain_scores_codex":[0.9995859,0.0001387218,0.00001328278,0.00008870495,0.00009252295,0.00008095772],"domain_scores_gemma":[0.999795,0.00006909675,0.00002892438,0.00001393784,0.00007089485,0.0000221342],"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":[0.000008857081,0.00001278846,0.0002293575,0.00001409154,0.000005300358,0.00004076753,0.00002323065,0.9391618,0.0001718518,0.0567923,0.000826437,0.002713297],"study_design_scores_gemma":[0.000004354351,0.000006483406,0.00007874669,0.000004330117,0.000004908688,0.0000118572,0.00001321359,0.9893858,0.00007316188,0.00854493,0.001868488,0.000003584149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04649169,0.0004744934,0.8879372,0.001253586,0.00009515222,0.0001130131,0.0008179412,0.0002226902,0.06259435],"genre_scores_gemma":[0.8947195,0.000808768,0.0694714,0.0001207265,0.00005422784,0.0003059912,0.0005652384,0.00008523072,0.03386892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03355484,"threshold_uncertainty_score":0.06671906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219122009637764,"score_gpt":0.2853863916965471,"score_spread":0.2731951716001694,"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."}}