{"id":"W2772021658","doi":"","title":"The Transit-Jobs Nexus: Insights for Transit-Oriented Development","year":2017,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Arizona State University; U.S. Department of Transportation; Fordham University; National Science Foundation","keywords":"Transit (satellite); Sustainability; Transport engineering; Transit-oriented development; Business; Public transport; Rail transit; Transit system; Engineering; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005148393,0.0004197713,0.0003505535,0.003866756,0.001620327,0.00526647,0.0006615805,0.000876653,0.009465153],"category_scores_gemma":[0.001309594,0.0001897574,0.0004087409,0.004986344,0.004538899,0.009491876,0.002953527,0.001583367,0.0003424239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004322219,"about_ca_system_score_gemma":0.002838107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009590945,"about_ca_topic_score_gemma":0.01797076,"domain_scores_codex":[0.9997177,0.0001205241,0.00001098159,0.00003715667,0.00002775951,0.00008592621],"domain_scores_gemma":[0.9984819,0.0007742931,0.0001996717,0.00005246467,0.0001487549,0.000342818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000009765333,0.00003098974,0.00603412,0.00005819649,0.000004385742,0.0001844853,0.001298066,0.0006778456,0.00004031699,0.9804832,0.001726708,0.009452014],"study_design_scores_gemma":[0.000005230316,0.00002200009,0.01295055,0.0002341334,0.00000752152,0.0002015869,0.01358662,0.004548791,0.0001018112,0.9185312,0.04979797,0.00001255396],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2336077,0.02624193,0.05117466,0.09583007,0.0004161779,0.0001112581,0.001579254,0.0001637238,0.5908753],"genre_scores_gemma":[0.9732137,0.009538912,0.008768241,0.0006130408,0.0001700054,0.00006280436,0.0002491434,0.00002973687,0.00735448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009590945,"threshold_uncertainty_score":0.03166413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03919062397453674,"score_gpt":0.3290035853555593,"score_spread":0.2898129613810225,"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."}}