{"id":"W3025001371","doi":"10.1007/s11069-020-03965-2","title":"Evaluation of two satellite-based products against ground-based observation for drought analysis in the southern part of Iran","year":2020,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Environmental science; Climatology; Satellite; Precipitation; Data assimilation; Meteorology; Rain gauge; Natural hazard; Geography; Geology","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":[0.001289858,0.0005225868,0.0003577653,0.001293815,0.00021649,0.0006565383,0.0004354664,0.0003821411,0.0004132466],"category_scores_gemma":[0.001443845,0.0001843349,0.0003442923,0.001155502,0.0001990371,0.0006087747,0.0002650604,0.0001907595,0.0001374311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005437378,"about_ca_system_score_gemma":0.0005978674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01876309,"about_ca_topic_score_gemma":0.01864555,"domain_scores_codex":[0.999626,0.00009145811,0.00001878085,0.00008606037,0.0001295193,0.00004809944],"domain_scores_gemma":[0.9992517,0.0001735516,0.00009056251,0.00004621935,0.000371891,0.00006610535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002272511,0.001064376,0.6560895,0.0003406925,0.000648545,0.0005466463,0.0005421676,0.08223664,0.05965118,0.0005369914,0.002180835,0.1938899],"study_design_scores_gemma":[0.0002090617,0.0006513934,0.7371696,0.00002359672,0.0004146556,0.0001272716,0.0006662747,0.2443057,0.0148319,0.0001722985,0.001384469,0.00004375309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965786,0.00009688987,0.002128029,0.00002879344,0.0000133889,0.00001889529,0.0004563752,0.00009830366,0.0005807159],"genre_scores_gemma":[0.9948196,0.00006770048,0.004153264,0.000007652678,0.000008637475,0.00001312638,0.0007588564,0.000008167089,0.0001630283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01876309,"threshold_uncertainty_score":0.03730774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04938262076230685,"score_gpt":0.2914261198913093,"score_spread":0.2420434991290025,"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."}}