{"id":"W4385450008","doi":"10.2139/ssrn.4526111","title":"Temperature and Local Industry Concentration","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Industrial organization; Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004631626,0.00006542999,0.00005336856,0.00001715217,0.0001494983,0.00003391482,0.00006332681,0.000122208,0.0001440221],"category_scores_gemma":[0.0000150251,0.00005568043,0.00001704611,0.0001956757,0.00005787293,0.0001968392,0.00002679745,0.001260685,0.0001795085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004608867,"about_ca_system_score_gemma":0.0001472056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003883933,"about_ca_topic_score_gemma":0.000209196,"domain_scores_codex":[0.998768,0.00003522792,0.00009742903,0.0001154174,0.0001627108,0.000821218],"domain_scores_gemma":[0.9998372,0.00001344434,0.00002860303,0.00005285587,0.000004430613,0.00006348384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007640043,0.00006473086,0.7485263,0.000008174681,0.00008984154,0.00003729259,0.001293352,0.002785444,0.05979119,0.03627567,0.01988615,0.1311654],"study_design_scores_gemma":[0.003326588,0.0009899719,0.6034071,0.00006239489,0.00008516406,0.002760356,0.008688972,0.007682398,0.01038568,0.3477094,0.01394975,0.0009521783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974909,0.0001593453,0.0004527521,0.0007359333,0.00007579258,0.00006011807,9.101881e-7,0.00003442058,0.00098983],"genre_scores_gemma":[0.9972544,0.0004337861,0.00001025161,0.000103647,0.00009939148,0.000002173785,0.00000511504,0.000007468977,0.002083792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3114338,"threshold_uncertainty_score":0.547712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004675429219689308,"score_gpt":0.2070371558286926,"score_spread":0.2023617266090033,"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."}}