{"id":"W2292563170","doi":"10.3141/2598-01","title":"Firm Births, Access to Transit, and Agglomeration in Portland, Oregon, and Dallas, Texas","year":2016,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Economies of agglomeration; Business; Public transport; Service (business); Economic geography; Quarter (Canadian coin); Demographic economics; Economic growth; Labour economics; Transport engineering; Geography; Economics; Engineering; Marketing","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":[0.0003726059,0.0001396386,0.0001386053,0.001391994,0.0005407422,0.0009642963,0.0007005402,0.0001748783,0.004327853],"category_scores_gemma":[0.002099285,0.0001739363,0.0002769178,0.002136262,0.0004101203,0.000552737,0.0009370614,0.0004876007,0.0002423107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002012922,"about_ca_system_score_gemma":0.001079537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2467018,"about_ca_topic_score_gemma":0.3929995,"domain_scores_codex":[0.9997652,0.00003051852,0.00002139845,0.00006241191,0.00006490276,0.00005539686],"domain_scores_gemma":[0.9977129,0.0005097523,0.001099702,0.0001025545,0.0001936104,0.0003815592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003363627,0.00005099737,0.9958261,0.000008336119,0.00002787279,0.0002330244,0.0003676821,0.0003015557,0.0001209078,0.000240085,0.000739208,0.002050608],"study_design_scores_gemma":[0.000005990904,0.00001954831,0.9952528,0.0000130127,0.00001685512,0.00008620277,0.002662386,0.0006403777,0.0001135647,0.00005215524,0.001132064,0.000005011472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972947,0.0000439817,0.00006166694,0.00008350272,0.000003053246,0.000007719113,0.001521108,0.000005764347,0.0009784277],"genre_scores_gemma":[0.9940066,0.0001924256,0.000150412,0.00002302294,0.000008316295,0.00002753137,0.003459036,0.000005700513,0.002126903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2467018,"threshold_uncertainty_score":0.4905316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1015151776330105,"score_gpt":0.3384779634191041,"score_spread":0.2369627857860936,"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."}}