{"id":"W2023477628","doi":"10.2166/nh.2011.074","title":"Synthesis of incoming shortwave radiation for hydrological simulation","year":2011,"lang":"en","type":"article","venue":"Hydrology research","topic":"Climate variability and models","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Shortwave radiation; Shortwave; Environmental science; Snowmelt; Climatology; Proxy (statistics); Meteorology; Radiation; Snow; Water cycle; Atmospheric sciences; Radiative transfer; Geography; Geology; Statistics; Physics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002404923,0.00006069965,0.000142294,0.00007298794,0.0001277162,0.000003534893,0.0001856204,0.0001609799,0.001619305],"category_scores_gemma":[0.0008854236,0.00005397624,0.00004869713,0.0001557626,0.0004129968,0.00009558824,0.000161574,0.0001363364,0.00007605094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006489955,"about_ca_system_score_gemma":0.00000964331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002110295,"about_ca_topic_score_gemma":0.00004360587,"domain_scores_codex":[0.9987287,0.0002732229,0.0002097435,0.0002654055,0.0002065643,0.0003163525],"domain_scores_gemma":[0.9981148,0.001543397,0.0000431726,0.000219803,0.000021695,0.0000570942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00219763,0.001337253,0.6234457,0.0001026706,0.00007656161,0.00001052127,0.00542626,0.2332011,0.07798712,0.006434616,0.0004805689,0.04929992],"study_design_scores_gemma":[0.0002923581,0.0004841451,0.03896441,0.000004588907,0.00001640641,0.000001953075,0.0000365317,0.9099522,0.01790559,0.03133973,0.0008897631,0.0001123717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863437,0.000006957063,0.002400988,0.0001362232,0.00002740593,0.0003727784,0.000006562057,0.00001587025,0.01068949],"genre_scores_gemma":[0.9986245,0.000008769427,0.001159661,0.00003279632,0.0000188783,0.0001010983,0.000004190544,0.00000678305,0.00004329557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.676751,"threshold_uncertainty_score":0.9992933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1866173274790772,"score_gpt":0.3753994757921776,"score_spread":0.1887821483131004,"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."}}