{"id":"W4391214440","doi":"10.1029/2023jd039314","title":"Improving Estimates of Dynamic Global Marine DMS and Implications for Aerosol Radiative Effect","year":2024,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; Natural Science Foundation of Shanghai","keywords":"Aerosol; Radiative transfer; Environmental science; Atmospheric sciences; Climatology; Meteorology; Geography; Physics; Geology; Optics","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":[0.0007496136,0.0007361833,0.0002294898,0.0003697709,0.0001756278,0.0003596733,0.0004418409,0.0003408897,0.0004297981],"category_scores_gemma":[0.001509822,0.0002640774,0.0005436373,0.0002597886,0.000118325,0.0005840801,0.0004989207,0.0003178295,0.0001134827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005106112,"about_ca_system_score_gemma":0.0005124503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01237215,"about_ca_topic_score_gemma":0.009545576,"domain_scores_codex":[0.9998558,0.00004662086,0.00001108082,0.00004119797,0.0000339735,0.00001130767],"domain_scores_gemma":[0.9996226,0.0001429355,0.00005106287,0.00006649808,0.0000995411,0.00001734928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001421982,0.0001547379,0.2200311,0.0001363941,0.0002800699,0.0001507305,0.0000617753,0.6208402,0.0925547,0.001004146,0.0005191413,0.06412481],"study_design_scores_gemma":[0.00002201701,0.00004008431,0.04932043,0.000009870836,0.00004043169,0.00001698681,0.00002173615,0.9259472,0.02372368,0.0002501612,0.0005839337,0.00002348464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9388595,0.000275405,0.05802795,0.0001572731,0.00003450012,0.00002713804,0.0007034045,0.0005818249,0.001333112],"genre_scores_gemma":[0.9827893,0.00007297279,0.01664616,0.00001516367,0.00001007387,0.00001237204,0.0002678763,0.00003704085,0.0001490612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01237215,"threshold_uncertainty_score":0.02460027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626563922513004,"score_gpt":0.3208331586314444,"score_spread":0.3045675194063144,"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."}}