{"id":"W4322741974","doi":"10.1007/s00382-023-06712-y","title":"Downscaled compound heatwave and heavy-precipitation analyses for Guangdong, China in the twenty-first century","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climatology; China; Precipitation; Environmental science; Geography; Meteorology; 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":[0.0003243672,0.0002487105,0.0002082306,0.0007617272,0.0002860203,0.0004169851,0.0002872492,0.0002779069,0.0007656519],"category_scores_gemma":[0.0003381402,0.0001579448,0.0004121758,0.001136587,0.0002416935,0.0003280666,0.0004472357,0.0001725777,0.0001132067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009806541,"about_ca_system_score_gemma":0.001139702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1106217,"about_ca_topic_score_gemma":0.1430663,"domain_scores_codex":[0.9999344,0.000006740965,0.000004282347,0.00002718187,0.00001382995,0.00001349773],"domain_scores_gemma":[0.9998798,0.00001324079,0.00002101161,0.00002331941,0.0000372463,0.00002545899],"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":[0.0003925929,0.0001338056,0.8116688,0.0002332525,0.000715073,0.0008917148,0.001333422,0.08803617,0.01282676,0.004911994,0.007511914,0.07134445],"study_design_scores_gemma":[0.00001778196,0.00001313642,0.9741535,0.000008376621,0.00008846349,0.00003206791,0.0001091562,0.01866182,0.0006326824,0.0003180378,0.00595054,0.00001450764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955764,0.000288024,0.0005327094,0.0001503704,0.00001616355,0.00000501965,0.002090131,0.00003879705,0.00130243],"genre_scores_gemma":[0.996334,0.0001690425,0.0003990222,0.00002049399,0.00001627375,0.000008234206,0.002259849,0.00001030027,0.0007827794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1106217,"threshold_uncertainty_score":0.2199556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03244644806094679,"score_gpt":0.3047089266985533,"score_spread":0.2722624786376066,"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."}}