{"id":"W4313561345","doi":"10.21203/rs.3.rs-2364480/v1","title":"Compound heatwave and drought hotspots and their trends in Southeast Australia","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Geography; Physical geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000217229,0.0000866124,0.0001502472,0.0008720073,0.0001680907,0.0003025064,0.0001003379,0.0001155656,0.0006583579],"category_scores_gemma":[0.0003856817,0.00009044515,0.0001041956,0.0009240302,0.0001669133,0.0002739227,0.0003502724,0.0001042026,0.00005935128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002884714,"about_ca_system_score_gemma":0.0002195649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0279374,"about_ca_topic_score_gemma":0.04856537,"domain_scores_codex":[0.9999143,0.00001497638,0.00001092986,0.00002073816,0.00002219548,0.00001690497],"domain_scores_gemma":[0.9996469,0.00004260784,0.000145303,0.00001549015,0.00009858291,0.00005112746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004486,0.00001519635,0.9846325,0.00003840766,0.00003286503,0.000141173,0.0007809984,0.0004246144,0.002409636,0.00008307843,0.0001142327,0.01128245],"study_design_scores_gemma":[3.513954e-7,0.0000098926,0.9993299,0.000001842865,0.00000231379,0.00002015148,0.0001603841,0.0003227919,0.00004040018,0.00001150325,0.00009961098,8.179574e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996045,0.00004496598,0.00005416717,0.00001037474,5.199313e-7,0.00000225754,0.0001008358,0.000001598636,0.0001807233],"genre_scores_gemma":[0.9995795,0.00004560683,0.0001043732,0.000002556435,0.000001417507,0.000003102669,0.0001091369,3.33696e-7,0.0001539654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0279374,"threshold_uncertainty_score":0.05554962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1059493091077126,"score_gpt":0.3857463242301045,"score_spread":0.2797970151223919,"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."}}