{"id":"W3189082062","doi":"10.54302/mausam.v56i3.990","title":"Climate change over India as revealed by critical extreme temperature analysis","year":2005,"lang":"en","type":"article","venue":"MAUSAM","topic":"Climate variability and models","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural disaster; Climate change; Climatology; Environmental science; Extreme weather; Extreme heat; Geography; Statistic; Meteorology; Oceanography; Statistics; Mathematics; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001487714,0.0001069223,0.0001414513,0.001051091,0.0002281262,0.0004302654,0.0001575463,0.0001393336,0.0004360473],"category_scores_gemma":[0.0006917692,0.00009119958,0.0001997535,0.001838663,0.0002081665,0.0001732267,0.0002544721,0.00020792,0.00008324395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003877111,"about_ca_system_score_gemma":0.000301735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02560751,"about_ca_topic_score_gemma":0.02648398,"domain_scores_codex":[0.9998597,0.00002945115,0.000008278876,0.0000218128,0.00003464077,0.00004610088],"domain_scores_gemma":[0.9994121,0.0002116877,0.0001458248,0.00004218173,0.0001309047,0.00005736152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001398634,0.00002761134,0.9763638,0.00003569035,0.00006704672,0.0003528301,0.0006607878,0.009029404,0.002577442,0.0007185545,0.001010502,0.009016545],"study_design_scores_gemma":[0.00000204885,0.00002513278,0.9935631,0.0000037446,0.00002179215,0.0001562161,0.0005209115,0.004463974,0.0004299285,0.0001538807,0.0006519254,0.0000074209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978365,0.00005918353,0.0001700111,0.00004177936,0.000003858206,0.000002561123,0.0004635374,0.00001262523,0.00141003],"genre_scores_gemma":[0.9995955,0.00003060519,0.00006132283,0.000002943108,0.000003316557,0.000001618564,0.0002426894,0.000001037783,0.0000609723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02560751,"threshold_uncertainty_score":0.05091691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02426895696216139,"score_gpt":0.2758573822763399,"score_spread":0.2515884253141785,"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."}}