{"id":"W2007426147","doi":"10.1029/2000gl012067","title":"Cloud optical depths and TOA fluxes: Comparison between satellite and surface retrievals from multiple platforms","year":2001,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Natural Resources Canada","funders":"Centre National d’Etudes Spatiales; Langley Research Center; U.S. Department of Energy","keywords":"Radiative transfer; Environmental science; Remote sensing; Inversion (geology); Shortwave; Cloud computing; Satellite; Broadband; Meteorology; Atmospheric radiative transfer codes; Cloud top; Cloud fraction; Flux (metallurgy); Cloud cover; Computer science; Geology; Physics; Optics; Telecommunications; Materials science; Astronomy","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":[0.001270929,0.0005617389,0.000496341,0.001631755,0.0003158639,0.0009764517,0.0004424633,0.0007530162,0.0007046289],"category_scores_gemma":[0.003404167,0.0003699749,0.0004625762,0.001698883,0.0001844795,0.001327041,0.000569062,0.0002382542,0.0003409914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005345079,"about_ca_system_score_gemma":0.0003163672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00860551,"about_ca_topic_score_gemma":0.01017794,"domain_scores_codex":[0.9994986,0.00008009351,0.00003387261,0.0001198027,0.0001998933,0.0000677043],"domain_scores_gemma":[0.9987431,0.0004055096,0.0002274368,0.0001654508,0.0003774396,0.00008110883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003135488,0.0005733067,0.623477,0.0004601066,0.001126063,0.0003618884,0.0006664465,0.060766,0.1265789,0.0009824241,0.001195642,0.1806767],"study_design_scores_gemma":[0.0003370539,0.0007976844,0.810763,0.00006379902,0.0004489196,0.0003467656,0.000395829,0.1484487,0.03572925,0.0007251974,0.001847861,0.00009589094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944746,0.0002867936,0.002521798,0.0000390641,0.00001497448,0.00003052862,0.001126075,0.0001194737,0.001386734],"genre_scores_gemma":[0.9892813,0.0002375256,0.007700786,0.00001567923,0.00002312741,0.00002554961,0.002253418,0.00004627037,0.0004163148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00860551,"threshold_uncertainty_score":0.01711082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04181469243076415,"score_gpt":0.3095197506568221,"score_spread":0.267705058226058,"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."}}