{"id":"W4237064847","doi":"10.33915/etd.7233","title":"Three Essays on Urban and Health Economics","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Endogeneity; Metropolitan area; League; Natural experiment; Geography; Criminology; Demographic economics; Political science; Psychology; Economics; Medicine; Econometrics","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":[0.002698573,0.0008389417,0.0007750423,0.002428232,0.00191723,0.004611294,0.0008596134,0.002817003,0.02407558],"category_scores_gemma":[0.008804203,0.0003433976,0.00103874,0.002894105,0.004642809,0.003657592,0.002387901,0.004486186,0.004897919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003351054,"about_ca_system_score_gemma":0.001894882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001920376,"about_ca_topic_score_gemma":0.002128148,"domain_scores_codex":[0.9986737,0.0005174672,0.00009756174,0.0001880311,0.000388248,0.0001351365],"domain_scores_gemma":[0.9926587,0.00537966,0.0003341519,0.0003711547,0.0008384232,0.0004179936],"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":[0.00002625774,0.0000642535,0.000774624,0.0003718702,0.00002577075,0.00009056549,0.0007921287,0.0006886748,0.0001332106,0.5217451,0.4193383,0.05594923],"study_design_scores_gemma":[0.00001268814,0.00003317945,0.001254998,0.0006326022,0.000009909894,0.00008053157,0.0006669566,0.0002960197,0.00007438037,0.153435,0.8434851,0.00001881369],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006323363,0.117887,0.0188483,0.457063,0.04914057,0.0001791108,0.001007684,0.0001763233,0.3493746],"genre_scores_gemma":[0.1271995,0.1706191,0.0145313,0.1302783,0.09265853,0.0006516469,0.00112648,0.0003426048,0.4625925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02407558,"threshold_uncertainty_score":0.08054078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04038660001253524,"score_gpt":0.3392139282585468,"score_spread":0.2988273282460115,"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."}}