{"id":"W3134954406","doi":"10.1016/j.jhydrol.2021.126185","title":"Joint behaviour of climate extremes across India: Past and future","year":2021,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Climate variability and models","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Princeton University; National Aeronautics and Space Administration","keywords":"Joint (building); Climatology; Climate change; Environmental science; Geology; Geography; Oceanography; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005011389,0.0000746563,0.0002568009,0.0000200102,0.00005650856,0.000009561735,0.0000866364,0.0001028155,0.0007955304],"category_scores_gemma":[0.00002217949,0.000060548,0.00007795578,0.00007367401,0.0001703282,0.0001076348,0.0002006385,0.0001948695,0.000006686651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002862689,"about_ca_system_score_gemma":0.00001164611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000126636,"about_ca_topic_score_gemma":0.00004664829,"domain_scores_codex":[0.999074,0.00007946421,0.0003778811,0.0001218461,0.0001411807,0.0002055994],"domain_scores_gemma":[0.9994782,0.00003749415,0.0002643514,0.0001228087,0.00001915457,0.00007803496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009315755,0.0003310597,0.945033,0.00003184978,0.00003500203,0.0003164034,0.002317693,0.0007500478,0.04481985,0.0002179765,0.0002968733,0.005757158],"study_design_scores_gemma":[0.001181811,0.0004777676,0.9790053,0.00002026638,0.00007821702,0.002453169,0.0008935663,0.0003873997,0.004482607,0.00224183,0.008619983,0.0001580492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968448,0.0002301602,0.00002378902,0.001834108,0.0002173772,0.00002817654,0.00001399297,0.000002522252,0.0008050521],"genre_scores_gemma":[0.9979756,0.0009749305,0.0006800197,0.0002224774,0.0001223065,5.538652e-7,0.000001273543,0.000005218344,0.00001765992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04033725,"threshold_uncertainty_score":0.8710499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138618286985969,"score_gpt":0.2521372395491592,"score_spread":0.2382754108505623,"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."}}