{"id":"W1502160970","doi":"10.2172/942122","title":"Final report for the project \"Improving the understanding of surface-atmosphere radiative interactions by mapping surface reflectance over the ARM CART site\" (award DE-FG02-02ER63351)","year":2008,"lang":"en","type":"report","venue":"","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Canada; Natural Resources Canada","funders":"","keywords":"Albedo (alchemy); Environmental science; Shortwave; Radiative forcing; Earth's energy budget; Radiative transfer; Shortwave radiation; Climate model; Cloud forcing; Atmosphere (unit); Climatology; Climate change; Meteorology; Sky; Atmospheric sciences; Geography; Radiation; Geology; Physics","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":[0.003778105,0.0008881607,0.0007851563,0.0008091141,0.0008901369,0.001813179,0.001989752,0.001078773,0.1537451],"category_scores_gemma":[0.003758416,0.0003162759,0.000758576,0.00114669,0.0002562736,0.001282079,0.001981838,0.001073127,0.06101529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633279,"about_ca_system_score_gemma":0.003734675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0170813,"about_ca_topic_score_gemma":0.01785034,"domain_scores_codex":[0.9980721,0.0002755694,0.00003714061,0.0002612168,0.001064572,0.0002892601],"domain_scores_gemma":[0.9960104,0.0002928788,0.000164769,0.0005585201,0.002064855,0.0009084137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003597583,0.0002108745,0.00152176,0.0001197691,0.00003739633,0.00006662505,0.00005443351,0.0007546218,0.003464183,0.001551691,0.9503719,0.04148697],"study_design_scores_gemma":[0.0004334547,0.0003079876,0.0161195,0.0000750925,0.00005063343,0.00007034041,0.000128297,0.003121445,0.007725301,0.002183524,0.9697382,0.00004622028],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02549938,0.001752846,0.03540393,0.02145685,0.0106801,0.004172866,0.6755732,0.009622115,0.2158388],"genre_scores_gemma":[0.07532332,0.001368914,0.04151197,0.002313032,0.001940192,0.002543433,0.5099562,0.005268468,0.3597744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1537451,"threshold_uncertainty_score":0.5143285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07304089190583346,"score_gpt":0.3094764656641111,"score_spread":0.2364355737582777,"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."}}