{"id":"W3035494011","doi":"10.1007/s11069-020-04095-5","title":"Analyzing the occurrence of floods and droughts in connection with climate change in Punjab province, Pakistan","year":2020,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Flood myth; Geography; Flooding (psychology); Natural hazard; Normalized Difference Vegetation Index; Climate change; Vegetation (pathology); Dryness; Environmental science; Physical geography; Socioeconomics; Hydrology (agriculture); Ecology; Meteorology","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":[0.0002454077,0.00009065308,0.0001609125,0.00003681954,0.00005688227,0.00001049629,0.0001164432,0.0000557448,0.00007235293],"category_scores_gemma":[0.00002281521,0.00005603571,0.00002317333,0.0006216255,0.0001793088,0.0002243347,0.00008224082,0.0002357268,0.0000072586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003998694,"about_ca_system_score_gemma":0.000007711504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006569559,"about_ca_topic_score_gemma":0.009907584,"domain_scores_codex":[0.9992158,0.00007668823,0.0001683818,0.000229278,0.0001284857,0.0001813407],"domain_scores_gemma":[0.9997597,0.00003977375,0.00006942084,0.00009170251,0.000004681909,0.00003466343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001620972,0.0000306113,0.9740599,0.00002280137,0.00001026231,0.0000246339,0.00203255,0.0003398378,0.0005942608,0.0001693393,0.00002943269,0.02252425],"study_design_scores_gemma":[0.001049536,0.0002628692,0.8891149,0.00005542539,0.00005530697,0.00001054567,0.000354946,0.1066884,0.00125211,0.0001982636,0.0006832418,0.0002745138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976487,0.0003603596,0.0000202402,0.001113789,0.00002575762,0.0001539316,0.000007180307,0.00001017778,0.000659895],"genre_scores_gemma":[0.9995619,0.00008002139,0.00008173405,0.0002342597,0.000018513,0.000009860997,0.000005119718,0.000002820739,0.000005779233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1063486,"threshold_uncertainty_score":0.5528665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009537818118338,"score_gpt":0.2561031641517023,"score_spread":0.2460077859705189,"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."}}