{"id":"W6979282023","doi":"","title":"Boreal Afforestation's Underestimated Cloud Influence on Earth's Energy Imbalance","year":2025,"lang":"en","type":"article","venue":"ArXiv.org","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Albedo (alchemy); Boreal; Afforestation; Climate change; Cloud computing; Biogeochemical cycle; Snowmelt; Cloud albedo; Taiga","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006246696,0.0001338183,0.0001069425,0.00004125739,0.0001019595,0.0000223266,0.000177238,0.00005502244,0.0002681279],"category_scores_gemma":[0.00004687213,0.0001285051,0.00003146567,0.0003357803,0.00007607188,0.0001377487,0.0001104486,0.00008771726,0.0004257462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007598331,"about_ca_system_score_gemma":0.000008543361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007596416,"about_ca_topic_score_gemma":0.0005651834,"domain_scores_codex":[0.9991549,0.00001507913,0.0001418553,0.0002652539,0.0001419041,0.0002809718],"domain_scores_gemma":[0.9995707,0.00006340742,0.00003672402,0.0002563739,0.000008526622,0.00006427419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002607462,0.00005560814,0.9581774,0.00001529429,0.00001248309,0.00002533023,0.0001292807,0.02715016,0.007536446,0.002155078,0.002751263,0.00196557],"study_design_scores_gemma":[0.0002126761,0.00003627218,0.979301,0.00004488689,0.000006578673,0.000001448849,0.00002708711,0.002887992,0.006293373,0.0004913346,0.01055653,0.0001407551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824587,0.00003129307,0.0005587336,0.000378397,0.0001738642,0.00006152397,0.000007077799,0.0001099705,0.01622042],"genre_scores_gemma":[0.996814,0.00006235264,0.0001051555,0.0009986815,0.00003489989,0.00001806001,0.00002585109,0.0000107546,0.001930263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02426216,"threshold_uncertainty_score":0.5472248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478968975593272,"score_gpt":0.2406145073685163,"score_spread":0.2258248176125835,"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."}}