{"id":"W4318716899","doi":"10.2139/ssrn.4339586","title":"Commercial Real Estate and Air Pollution","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Business; Air pollution; Real estate; Environmental science; Environmental planning; Finance","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":[0.0003141878,0.0001818067,0.000209564,0.0007333918,0.000450512,0.002208039,0.0001977122,0.0007577777,0.02906423],"category_scores_gemma":[0.001090683,0.00008421941,0.0001808599,0.001863373,0.0004061036,0.0007233983,0.0004841819,0.0004857226,0.001772207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005978984,"about_ca_system_score_gemma":0.0006204255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02395736,"about_ca_topic_score_gemma":0.04098417,"domain_scores_codex":[0.9997287,0.0001245603,0.00001680228,0.00002412035,0.00007319006,0.00003258309],"domain_scores_gemma":[0.9991741,0.00034784,0.0002196796,0.00002873291,0.0001110679,0.0001186908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005463229,0.00160226,0.7618316,0.0007989901,0.0004570675,0.001950877,0.002323787,0.001583911,0.001552742,0.03295833,0.04895152,0.1454426],"study_design_scores_gemma":[0.00002214548,0.0003315282,0.8607439,0.0003699419,0.0001224524,0.0007907089,0.01080459,0.001257305,0.0004531877,0.01292592,0.1121505,0.00002786094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.738779,0.09236769,0.0004087793,0.02341335,0.001097799,0.00001932609,0.002073092,0.00003033391,0.1418107],"genre_scores_gemma":[0.9499915,0.02258731,0.0001423243,0.0005057513,0.0004617081,0.000005157116,0.0004493734,0.000008850295,0.02584799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02906423,"threshold_uncertainty_score":0.09722954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02196400228665843,"score_gpt":0.3009765022959802,"score_spread":0.2790125000093218,"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."}}