{"id":"W4390345091","doi":"10.1021/acs.est.3c07670","title":"Attributing Atmospheric Phosphorus in the Himalayas: Biomass Burning vs Mineral Dust","year":2023,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Mineral dust; Phosphorus; Environmental science; Deposition (geology); Ecosystem; Biomass (ecology); Particulates; Nutrient; Pollution; Atmospheric sciences; Environmental chemistry; Ecology; Aerosol; Chemistry; Sediment; Geology; Meteorology; Geography; Biology","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":[0.0001409995,0.0001814288,0.0001670156,0.0007242754,0.0005441904,0.0005843182,0.0002275236,0.0002176268,0.0006205716],"category_scores_gemma":[0.0002168569,0.00008919755,0.0001402146,0.0008601201,0.0003255836,0.0002726491,0.0004105181,0.0001780087,0.0001320974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004676174,"about_ca_system_score_gemma":0.0003475169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04009339,"about_ca_topic_score_gemma":0.03978549,"domain_scores_codex":[0.9999373,0.000008823686,0.000004110907,0.0000173109,0.00001743263,0.00001505102],"domain_scores_gemma":[0.9998854,0.00003382031,0.00002413251,0.000007291367,0.00003101407,0.00001839661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001307584,0.00002358352,0.9753737,0.00004500948,0.00005875754,0.0007285864,0.001027375,0.0007982197,0.01246302,0.0002319648,0.0001018905,0.009017169],"study_design_scores_gemma":[0.000002935907,0.00001846151,0.9956177,0.000005595082,0.0000182626,0.0001275269,0.001240063,0.001307289,0.001142225,0.0001929304,0.0003232422,0.000003831957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985611,0.000292495,0.0002095807,0.00005920245,0.000004118626,0.000002542065,0.000107272,0.000004482479,0.0007590686],"genre_scores_gemma":[0.9994583,0.0001508534,0.0001144761,0.00001256051,0.000007925581,0.000001039812,0.00006606581,0.00000131399,0.0001875657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04009339,"threshold_uncertainty_score":0.07972002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008424151140345292,"score_gpt":0.2023042740452917,"score_spread":0.1938801229049464,"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."}}