{"id":"W2889740426","doi":"10.5539/jas.v10n10p298","title":"Albedo Trend Analyses in Atlantic Forest Biome Areas","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Environmental and biological studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biome; Albedo (alchemy); Environmental science; Vegetation (pathology); Atmospheric sciences; Canopy; Energy balance; Climate change; Climatology; Physical geography; Geography; Ecology; Ecosystem; Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029523,0.0001432022,0.0001034536,0.001633546,0.0001416181,0.0003939357,0.00008647623,0.00008176122,0.000468705],"category_scores_gemma":[0.0006015916,0.00005738967,0.0002875485,0.001347891,0.00009523611,0.0002306712,0.0001955971,0.0001047076,0.0001173505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002712024,"about_ca_system_score_gemma":0.0002428503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03133349,"about_ca_topic_score_gemma":0.04528132,"domain_scores_codex":[0.9998802,0.00001251716,0.00001491863,0.00003576986,0.00003177168,0.00002474534],"domain_scores_gemma":[0.9996161,0.0000525152,0.0001367227,0.00002851852,0.0001399166,0.00002621192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003591597,0.00001155815,0.9855728,0.00001480534,0.00004598724,0.00005147257,0.0001478568,0.0005693898,0.002095463,0.00006314303,0.0002306737,0.01116113],"study_design_scores_gemma":[5.893558e-7,0.000009221828,0.9971581,0.0000034395,0.00001442905,0.00002489863,0.0001935258,0.001803478,0.0002670478,0.00001703473,0.0005062856,0.000002025547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974995,0.0001276416,0.000408398,0.0000154822,0.000003282858,0.000006030705,0.00106692,0.00001797576,0.0008546458],"genre_scores_gemma":[0.9971914,0.00007762601,0.0006576784,0.000003611699,0.000004829582,0.00000800732,0.00171838,0.000006910896,0.000331497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03133349,"threshold_uncertainty_score":0.06230223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02710936370390052,"score_gpt":0.2676687802709037,"score_spread":0.2405594165670032,"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."}}