{"id":"W2297608509","doi":"10.1038/nclimate2956","title":"Contribution of urbanization to warming in China","year":2016,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":473,"is_retracted":false,"has_abstract":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria; Environment and Climate Change Canada","funders":"","keywords":"Urbanization; Global warming; China; Environmental science; Climatology; Climate change; Geography; Ecology; Geology","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":[0.0004935286,0.0003281241,0.000228887,0.001475925,0.0008979218,0.0009316932,0.0003378796,0.0002957825,0.002505874],"category_scores_gemma":[0.0005358398,0.0001873185,0.000985942,0.001847579,0.0005423452,0.0005347094,0.001159336,0.0003803788,0.0001121583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001939681,"about_ca_system_score_gemma":0.003458232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1324434,"about_ca_topic_score_gemma":0.2332603,"domain_scores_codex":[0.999568,0.00006910821,0.00003281549,0.00007238128,0.0000688361,0.0001887776],"domain_scores_gemma":[0.9994732,0.00006503489,0.0001258126,0.00004625848,0.0001263055,0.0001634697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001079255,0.00004162891,0.97585,0.00009375084,0.0002757239,0.0005888892,0.001050992,0.002732411,0.001200779,0.003496051,0.0006570678,0.0139047],"study_design_scores_gemma":[0.000005339798,0.00001452923,0.9946262,0.00001357005,0.0001321718,0.0000566051,0.0007897707,0.001732374,0.0001486242,0.0004652048,0.002004403,0.00001121802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943363,0.001284628,0.0001965763,0.0008356043,0.00004178611,0.000007863045,0.0002533181,0.00001260594,0.003031295],"genre_scores_gemma":[0.9987115,0.000513977,0.00003425601,0.00002957976,0.00002982106,0.00000259192,0.00008574376,0.000003136302,0.0005894089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1324434,"threshold_uncertainty_score":0.2633449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009625850519029543,"score_gpt":0.2391048374721307,"score_spread":0.2294789869531012,"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."}}