{"id":"W4384341278","doi":"10.21203/rs.3.rs-3148561/v1","title":"Spatial-Temporal Evaluation of Satellite-Derived Rainfall Estimations for Water Resources Applications in the Upper Congo River Basin","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Environmental science; Soil and Water Assessment Tool; Precipitation; Satellite; Global Precipitation Measurement; Climatology; Climate Forecast System; Rain gauge; Drainage basin; Water resources; Structural basin; Meteorology; Streamflow; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01096326,0.0001602812,0.0002661918,0.0006546621,0.0003184216,0.0001634542,0.0005841905,0.0001562016,0.0007111842],"category_scores_gemma":[0.0006818467,0.0001016751,0.0001858471,0.0005065803,0.0002183634,0.0001031605,0.00006489169,0.0003970877,0.000144254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002880386,"about_ca_system_score_gemma":0.0001976,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009700312,"about_ca_topic_score_gemma":0.02119428,"domain_scores_codex":[0.9952429,0.001527554,0.000471274,0.0004230776,0.001953163,0.0003820122],"domain_scores_gemma":[0.9968727,0.001270412,0.0001245447,0.0004994472,0.001166069,0.00006686835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006542501,0.00009195103,0.9169141,0.0005368195,0.0001302997,9.032397e-7,0.01704505,0.0364868,0.0001407951,0.0000690892,0.0005832651,0.0279355],"study_design_scores_gemma":[0.0004004058,0.00007724292,0.8849008,0.0001425018,0.00009460159,1.291084e-7,0.002588031,0.09173916,0.0002471503,0.01602308,0.00362413,0.0001627345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869666,0.0007060938,0.002647527,0.003034024,0.00009053101,0.004488377,0.0007544259,0.00004363043,0.001268768],"genre_scores_gemma":[0.9918703,0.000119258,0.0007802641,0.00001951506,0.0001196378,0.0004520814,0.006468844,0.000008750537,0.0001612951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05525237,"threshold_uncertainty_score":0.9968942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1816776040670656,"score_gpt":0.3894319476076747,"score_spread":0.2077543435406091,"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."}}