{"id":"W4409255211","doi":"10.1021/acsestair.4c00302","title":"Selective Ocean–Atmosphere Bacterial Flux Through the Pacific Sea Surface Microlayer","year":2025,"lang":"en","type":"article","venue":"ACS ES&T Air","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Atmosphere (unit); Flux (metallurgy); Oceanography; Environmental science; Carbon flux; Pacific ocean; Climatology; Atmospheric sciences; Geology; Geography; Meteorology; Chemistry; Biology; Ecosystem","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001691917,0.000163947,0.0001793433,0.000002822496,0.0005673803,0.00001859448,0.0005683201,0.0001758378,0.004786535],"category_scores_gemma":[0.00003063672,0.0001240306,0.00006331244,0.0002865286,0.0003853528,0.0001437681,0.0004671807,0.0004107456,0.001041182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049307,"about_ca_system_score_gemma":0.00003627583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005488373,"about_ca_topic_score_gemma":0.001155368,"domain_scores_codex":[0.998817,0.0003805783,0.000158449,0.0002587131,0.00005960602,0.0003256504],"domain_scores_gemma":[0.9992275,0.0002084221,0.00005826366,0.0004662357,0.00001308447,0.00002648133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001911724,0.0001532818,0.04167729,0.00000970099,0.00008948244,0.000002612998,0.002387053,0.001812327,0.1953649,0.0006119385,0.7574311,0.000269134],"study_design_scores_gemma":[0.000861635,0.0001969227,0.1471153,0.00001788396,0.00005605405,0.00000964179,0.0009075272,0.0001051656,0.06008009,0.009442042,0.7807915,0.0004162024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9553943,0.00005939103,0.00002864662,0.001703415,0.0004507731,0.0002361479,0.00001493646,0.0000465839,0.04206575],"genre_scores_gemma":[0.9910442,0.00002123077,0.0001527601,0.001700474,0.00004316524,0.000004144581,0.00004552708,0.00001026,0.006978256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1352848,"threshold_uncertainty_score":0.9997366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006937811586888652,"score_gpt":0.2227776593790303,"score_spread":0.2158398477921416,"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."}}