{"id":"W2892828071","doi":"10.1007/s00382-018-4469-8","title":"Climate warming will not decrease perceived low-temperature extremes in China","year":2018,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island; McMaster University; University of Regina","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Environmental science; Climatology; Climate change; Baseline (sea); Wind speed; China; Mean radiant temperature; Global warming; Greenhouse gas; Atmospheric sciences; Meteorology; Geography; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005708375,0.0002045469,0.000217852,0.0002417658,0.0005784577,0.0008907855,0.0004750639,0.0003218269,0.001907827],"category_scores_gemma":[0.001042138,0.0001638286,0.0003680773,0.0004263558,0.000519029,0.0006858296,0.0004683736,0.0003624536,0.00008950428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002068432,"about_ca_system_score_gemma":0.00146456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07525277,"about_ca_topic_score_gemma":0.09716067,"domain_scores_codex":[0.9998716,0.00002344266,0.000005284998,0.0000316064,0.00001158049,0.00005649592],"domain_scores_gemma":[0.9996042,0.00007939285,0.00008764327,0.00004275447,0.00005816182,0.0001279533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005619193,0.000211433,0.8381754,0.00008536559,0.0002758012,0.0003242744,0.001411391,0.123258,0.005181537,0.01147887,0.004206354,0.01482971],"study_design_scores_gemma":[0.00005785572,0.00006572144,0.8841141,0.000008623244,0.00009700253,0.00002171631,0.0007592625,0.1081504,0.0004367906,0.005416934,0.0008417995,0.00002983208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984533,0.00002530829,0.0001916148,0.000371309,0.000006862296,0.000001545052,0.00006137678,0.000008593337,0.0008800878],"genre_scores_gemma":[0.9997615,0.00001234648,0.00002166635,0.00001769527,0.000002569244,0.00000103648,0.00003043513,0.000001699648,0.000150971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07525277,"threshold_uncertainty_score":0.1496295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008886745324996408,"score_gpt":0.2346915439734455,"score_spread":0.2258047986484491,"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."}}