{"id":"W3112906047","doi":"","title":"A fast, flexible, approximate technique for computing radiative transfer in inhomogeneous cloud fields","year":2003,"lang":"en","type":"article","venue":"EGS - AGU - EUG Joint Assembly","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Radiative transfer; Cloud computing; Benchmark (surveying); Statistical physics; Scale (ratio); Computer science; Radiative flux; Meteorology; Environmental science; Remote sensing; Applied mathematics; Physics; Mathematics; Geology; Optics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006252345,0.0003049684,0.0003891943,0.000008001225,0.0001845614,0.00004486243,0.0002339912,0.0002135402,0.0003309584],"category_scores_gemma":[0.00006188889,0.0002857239,0.0001668459,0.0004019016,0.0001088356,0.0001364518,0.00007635641,0.0002854432,0.00006053793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002191039,"about_ca_system_score_gemma":0.00003607514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002968443,"about_ca_topic_score_gemma":0.0001686153,"domain_scores_codex":[0.9979474,0.0001213571,0.0004725758,0.000548909,0.0002626204,0.000647164],"domain_scores_gemma":[0.9993863,0.00009301143,0.00008447197,0.000283992,0.00001258523,0.0001396964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007557237,0.003849178,0.1585703,0.0006662891,0.0003784244,0.00055301,0.03054361,0.1839988,0.4671088,0.02893302,0.03516205,0.08948076],"study_design_scores_gemma":[0.007978058,0.002428396,0.04566177,0.0004481192,0.0001599187,0.0003340422,0.003248073,0.07053048,0.8141879,0.01333831,0.03722544,0.00445944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4634894,0.00008291838,0.5208811,0.0001514766,0.0001794073,0.001057394,0.000007172996,0.00009044693,0.01406059],"genre_scores_gemma":[0.9676387,0.00001903894,0.03083518,0.0004319486,0.00007690406,0.0001845883,0.00000616634,0.00004438181,0.0007631477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5041492,"threshold_uncertainty_score":0.9999595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0164619910937574,"score_gpt":0.2417214296686504,"score_spread":0.225259438574893,"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."}}