{"id":"W2895803432","doi":"10.1029/2018ef000963","title":"Substantial Increase in Heat Wave Risks in China in a Future Warmer World","year":2018,"lang":"en","type":"article","venue":"Earth s Future","topic":"Climate variability and models","field":"Environmental Science","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Natural Science Foundation of China","keywords":"Heat wave; Environmental science; Global warming; Context (archaeology); Climatology; Climate change; Intensity (physics); Extreme heat; China; Atmospheric sciences; Meteorology; Geography; Geology; Physics; Oceanography","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":[0.0005192975,0.0001922391,0.0002305556,0.0001470521,0.0000614953,0.00002487166,0.0001723922,0.000172237,0.00548519],"category_scores_gemma":[0.00001772506,0.0001706178,0.00005056255,0.0009029351,0.0001510675,0.0002559258,0.0001322781,0.0004992099,0.0002590845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001108939,"about_ca_system_score_gemma":0.00001920871,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009440528,"about_ca_topic_score_gemma":0.2436104,"domain_scores_codex":[0.998373,0.000150971,0.0002956617,0.0004631833,0.000242283,0.0004748488],"domain_scores_gemma":[0.9994857,0.00002600672,0.0000314887,0.0003393203,0.000003994186,0.0001135088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004868319,0.0005228352,0.9768984,0.00002671469,0.000004726055,0.0001734718,0.008981382,0.001577367,0.002968316,0.0004469097,0.00120595,0.006707085],"study_design_scores_gemma":[0.001002751,0.00005068269,0.9714325,0.00003342233,0.000003676071,0.000006126362,0.0002578858,0.003280651,0.0002813799,0.0006030088,0.0228202,0.0002276882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872096,0.00008576013,0.000006453287,0.001846191,0.0003482121,0.0003104337,0.00001574691,0.00002332431,0.01015425],"genre_scores_gemma":[0.998032,0.00007030276,0.0004485861,0.0005266212,0.0006537187,0.00001451692,0.00001485727,0.00001439557,0.0002249852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2341699,"threshold_uncertainty_score":0.9971557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635862315375395,"score_gpt":0.2453339667360043,"score_spread":0.2289753435822503,"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."}}