{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001727161,0.00006337463,0.00008531048,0.00005263564,0.00002496063,0.000003255415,0.0000705183,0.0001238383,0.0003356598],"category_scores_gemma":[0.0001215522,0.00004470731,0.00001574417,0.0002693602,0.00002015581,0.0001927747,0.00006018912,0.00006794839,0.0001319894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001758285,"about_ca_system_score_gemma":0.000001458881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004095669,"about_ca_topic_score_gemma":0.0002046261,"domain_scores_codex":[0.9993836,0.00002342274,0.0001243043,0.0001525247,0.0001394956,0.0001765969],"domain_scores_gemma":[0.9997792,0.00002340815,0.00004549258,0.0001017113,0.00001183357,0.0000383946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003638396,0.0000454973,0.802514,0.00001142181,0.00000137895,0.000002692755,0.001006282,0.000004155244,0.1812217,0.001549579,0.001121469,0.01248547],"study_design_scores_gemma":[0.0003912383,0.00004851778,0.9537512,0.0001017036,0.000003478931,0.000001360673,0.00001071317,0.00003628866,0.04316634,0.000427904,0.001973792,0.00008745799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965729,0.00007156847,0.000193885,0.001315138,0.0001473365,0.0003165754,0.00003051585,0.00002194568,0.001330193],"genre_scores_gemma":[0.9994738,0.00005233881,0.0001145891,0.0001962362,0.00007618252,0.00002419089,0.00001546979,0.000007299361,0.00003990889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1512372,"threshold_uncertainty_score":0.367524,"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."}}