{"id":"W2052039102","doi":"10.3137/ao.420203","title":"A parametrization of solar energy disposition in the climate system","year":2004,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; McGill University","funders":"Goddard Space Flight Center; National Aeronautics and Space Administration","keywords":"International Satellite Cloud Climatology Project; Cloud albedo; Environmental science; Precipitable water; Albedo (alchemy); Solar zenith angle; Atmosphere (unit); Parametrization (atmospheric modeling); Radiative transfer; Atmospheric sciences; Climate model; Satellite; Atmospheric model; Earth's energy budget; Meteorology; Cloud cover; Physics; Radiation; Climate change; Water vapor; Cloud computing; Geology; Astronomy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000225867,0.0002756529,0.0001934578,0.0002401077,0.0002150409,0.0008407988,0.0003596733,0.0003365218,0.001555343],"category_scores_gemma":[0.001082895,0.0001659467,0.0003631614,0.0005642731,0.000267177,0.0006068603,0.0005334159,0.000521726,0.0002590426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006992382,"about_ca_system_score_gemma":0.0002687889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005043126,"about_ca_topic_score_gemma":0.00279027,"domain_scores_codex":[0.9998804,0.00005121872,0.000006219879,0.00002788346,0.00001833757,0.00001588045],"domain_scores_gemma":[0.9998326,0.00006439773,0.00002128242,0.00005332073,0.00001565297,0.00001265102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004080783,0.00002226023,0.0111717,0.00001594351,0.00003070904,0.00005096355,0.00003442895,0.9637183,0.001794746,0.01548388,0.0006195754,0.007016603],"study_design_scores_gemma":[0.00001572052,0.00001585532,0.0063529,0.00001057238,0.00001113278,0.00002491748,0.00001452941,0.9830014,0.0006816259,0.006809294,0.003049679,0.00001246509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8057377,0.0008107324,0.145143,0.0005135345,0.00008034364,0.0000743406,0.002362969,0.0008213935,0.04445592],"genre_scores_gemma":[0.9959037,0.00009591404,0.002786933,0.00001410728,0.000008722396,0.00002174273,0.0002946052,0.00002423713,0.0008502023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005043126,"threshold_uncertainty_score":0.01002753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007268749923433778,"score_gpt":0.2098555463104461,"score_spread":0.2025867963870123,"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."}}