{"id":"W3128555095","doi":"10.1175/jamc-d-20-0179.1","title":"Impact of Urbanization on the Nature of Precipitation at Toronto, Ontario, Canada","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Meteorology and Climatology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Precipitation; Urbanization; Snow; Environmental science; Climatology; Climate change; Global warming; Geography; Physical geography; Meteorology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002042204,0.00007195139,0.0002336873,0.00001372176,0.00004975606,0.000001570052,0.00007675098,0.0001494454,0.002225627],"category_scores_gemma":[0.00006214396,0.0000471288,0.00004500922,0.00006091168,0.0001075052,0.00004635175,0.00004020792,0.0001831459,0.000001271873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000351921,"about_ca_system_score_gemma":0.0001698632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05844946,"about_ca_topic_score_gemma":0.7801705,"domain_scores_codex":[0.9992709,0.00007588143,0.000313789,0.00009418177,0.000137795,0.0001074201],"domain_scores_gemma":[0.9991733,0.0002737748,0.0003736413,0.0001005256,0.00004297011,0.00003578465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009824146,0.0001357612,0.904335,0.00001624466,0.000210963,0.00001877644,0.001714258,0.000901357,0.0637598,0.01357035,0.0136047,0.0007503282],"study_design_scores_gemma":[0.0006204458,0.0004538343,0.9715032,0.000007376845,0.00008436959,0.0002225396,0.0002081742,0.00003075931,0.02295202,0.002887735,0.0009637786,0.00006577231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910361,0.0001826627,0.00002071363,0.0002405142,0.0001183979,0.00006385653,0.000004625517,8.3553e-7,0.008332321],"genre_scores_gemma":[0.9994372,0.00004851581,0.000221395,0.0001987626,0.00001301427,0.000001636951,0.000006468679,0.000003701634,0.00006937118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7217211,"threshold_uncertainty_score":0.9986865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004612086349065661,"score_gpt":0.2120444109376932,"score_spread":0.2074323245886275,"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."}}