{"id":"W4200034628","doi":"10.3389/fevo.2021.761251","title":"A Stepwise-Clustered Simulation Approach for Projecting Future Heat Wave Over Guangdong Province","year":2021,"lang":"en","type":"article","venue":"Frontiers in Ecology and Evolution","topic":"Climate variability and models","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada","keywords":"Heat wave; Intensity (physics); Representative Concentration Pathways; GCM transcription factors; Environmental science; Climatology; Climate change; General Circulation Model; Atmospheric sciences; Geology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003319371,0.00009055392,0.0001459062,0.00003597717,0.000168465,0.00001323915,0.00003987415,0.000189755,0.00002662918],"category_scores_gemma":[0.00008014031,0.00009273329,0.00003224182,0.0001239399,0.00008477603,0.0002390714,0.00008420882,0.0001104048,0.000001069402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004030441,"about_ca_system_score_gemma":0.00003124827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004924788,"about_ca_topic_score_gemma":0.0004965751,"domain_scores_codex":[0.9990789,0.00009278424,0.0001687944,0.0003557706,0.00006682399,0.0002368798],"domain_scores_gemma":[0.9997505,0.0000514935,0.00003887127,0.0001162674,0.00001045227,0.00003239703],"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":[0.0001403978,0.0001578324,0.8439496,0.00007467048,0.00001136655,0.000002461853,0.0008105012,0.1512967,0.0004207642,0.0001416039,0.0009463176,0.002047732],"study_design_scores_gemma":[0.0005572577,0.00004176961,0.2881961,0.000004620952,0.00001313342,0.00000471127,0.0006961481,0.7084275,0.00001904348,0.00153019,0.0004191612,0.00009035577],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8655332,0.0001118445,0.1323958,0.0001589246,0.0004765555,0.0005933158,0.000009369263,0.00002092136,0.0007000094],"genre_scores_gemma":[0.9641154,0.00001462887,0.03537403,0.00009046859,0.00007290181,0.00006327752,0.00004478971,0.000006893442,0.000217573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5571308,"threshold_uncertainty_score":0.3781554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145821032420692,"score_gpt":0.2313374868375151,"score_spread":0.2167553835954459,"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."}}