{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002974073,0.0001077382,0.000167892,0.00004800183,0.0001905539,0.00003993404,0.0004490491,0.00002899086,0.0004319689],"category_scores_gemma":[0.00006594985,0.00004542588,0.0000725945,0.0009792033,0.001442954,0.0004513971,0.0002501842,0.00009411471,0.0001272015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001983632,"about_ca_system_score_gemma":0.000004080571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000302973,"about_ca_topic_score_gemma":0.001550576,"domain_scores_codex":[0.9987368,0.00002363078,0.0002809676,0.0001857247,0.0004763863,0.0002965182],"domain_scores_gemma":[0.9995837,0.00003212359,0.0001806015,0.00006089736,0.00001197208,0.0001306677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001011479,0.00007880459,0.6827335,6.938812e-7,0.00000423116,0.00001037261,0.0001491073,0.0001032954,0.3149563,0.00001081672,0.0006617469,0.001281003],"study_design_scores_gemma":[0.0001313415,0.0003591763,0.993609,0.00001528743,0.000007565006,0.00008037959,0.0003064805,0.00001177585,0.004400248,0.0001507641,0.0008313814,0.00009657722],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995746,0.00006606737,0.000004100516,0.000583915,0.0001137898,0.00004175327,6.995855e-7,0.000004007284,0.003439683],"genre_scores_gemma":[0.9992288,0.00006735953,0.0003426907,0.00009689427,0.0001160312,6.658768e-7,4.573841e-7,0.000001122487,0.0001459703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3108755,"threshold_uncertainty_score":0.5316625,"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."}}