{"id":"W4380761268","doi":"10.2139/ssrn.4479171","title":"The Historical Impact of Coal on Cities","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Coal; Environmental science; Environmental planning; Political science; Geography; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006272987,0.00015193,0.000144202,0.00177065,0.00314318,0.003844426,0.0004142632,0.001023812,0.009725862],"category_scores_gemma":[0.00241966,0.0002449859,0.0001260689,0.004315116,0.004384825,0.002591741,0.002392443,0.001661516,0.0004594053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005707888,"about_ca_system_score_gemma":0.001641813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04830094,"about_ca_topic_score_gemma":0.1398891,"domain_scores_codex":[0.9995647,0.000106225,0.00002120095,0.00007863762,0.00008733811,0.0001418109],"domain_scores_gemma":[0.9991924,0.0001777465,0.0001699648,0.00006839048,0.0002403264,0.0001510479],"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":[0.0003163456,0.0001275921,0.0780228,0.0004342864,0.00006617155,0.00143642,0.02309224,0.002899621,0.001118344,0.7965679,0.01610661,0.07981163],"study_design_scores_gemma":[0.000008322007,0.00008497186,0.1864349,0.0004625507,0.00003020692,0.0005967345,0.02351977,0.0009213269,0.00122969,0.02824341,0.7584234,0.00004485716],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6836188,0.01479897,0.001075655,0.0153602,0.0006614574,0.0000206942,0.001237101,0.00002793088,0.2831991],"genre_scores_gemma":[0.9882096,0.004269521,0.0001470167,0.0002697545,0.0001653352,0.000004182588,0.0001341249,0.00001986547,0.006780516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04830094,"threshold_uncertainty_score":0.09603959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02251820455136791,"score_gpt":0.3110178245555305,"score_spread":0.2884996200041625,"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."}}