{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003490218,0.0001869294,0.0005424165,0.001571844,0.0002450772,0.0002168841,0.0005717663,0.0001372976,0.0002495986],"category_scores_gemma":[0.0001486158,0.0001350863,0.0001747226,0.001229268,0.0003150783,0.0008941439,0.00001141478,0.0005969135,0.00002500285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652623,"about_ca_system_score_gemma":0.0001378164,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01563794,"about_ca_topic_score_gemma":0.1327084,"domain_scores_codex":[0.9968019,0.0002028257,0.001485474,0.0004933175,0.0004759964,0.0005405069],"domain_scores_gemma":[0.9978884,0.0004597706,0.0003954198,0.0002819941,0.0006111655,0.0003632477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005365428,0.00008890771,0.9646869,0.00006886888,0.00008395004,0.000033025,0.0008048179,0.0002813595,0.0003721919,0.02412157,0.001261116,0.007660744],"study_design_scores_gemma":[0.001330419,0.0002755866,0.9571933,0.0001653809,0.00001012084,6.448351e-7,0.0001481607,0.0001526345,0.0001430035,0.02085404,0.01955368,0.0001730762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684682,0.0005565081,0.002330008,0.02764828,0.0001475145,0.0005550961,0.0001189089,0.000006594909,0.000168928],"genre_scores_gemma":[0.9930108,0.005756645,0.0004046432,0.0001273022,0.00009271172,0.00003437632,0.000007284497,0.0000305797,0.0005356488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1170705,"threshold_uncertainty_score":0.990917,"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."}}