{"id":"W2032519660","doi":"10.5194/bgd-7-5719-2010","title":"Formation and distribution of sea-surface microlayers","year":2010,"lang":"en","type":"article","venue":"","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Office of Naval Research; Fisheries and Oceans Canada; Deutsche Forschungsgemeinschaft; ArcticNet","keywords":"Environmental science; Subtropics; Oceanography; Atmosphere (unit); Temperate climate; Wind speed; Atmospheric sciences; Primary productivity; Productivity; Climatology; Geology; Geography; Meteorology; Ecology; Biology; Nutrient","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008623083,0.0001093302,0.00009662785,0.0007208023,0.0001902291,0.0006107608,0.0001171105,0.000132934,0.0008486164],"category_scores_gemma":[0.0002554284,0.0001311225,0.0001039234,0.0002351336,0.0001827461,0.0002695002,0.0004596528,0.0001496376,0.0002496697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002691425,"about_ca_system_score_gemma":0.0001300337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001776617,"about_ca_topic_score_gemma":0.001660408,"domain_scores_codex":[0.9999108,0.000006457814,0.000006221836,0.00003426785,0.0000193926,0.0000227787],"domain_scores_gemma":[0.9997939,0.00002127361,0.00006073096,0.000007441888,0.00005639593,0.00006021767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003604998,0.00002339825,0.1999126,0.0001226601,0.00005774347,0.0001743484,0.0005330619,0.0003721121,0.7841058,0.0004712256,0.000127584,0.01373903],"study_design_scores_gemma":[0.00002090173,0.0001938484,0.8359611,0.00003752805,0.00003487184,0.0003980585,0.001095932,0.004430537,0.1547916,0.0003439686,0.002668049,0.0000236065],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983484,0.0003034301,0.0004058029,0.0000109083,0.000002286436,0.000003625215,0.000193909,0.00001057416,0.0007210665],"genre_scores_gemma":[0.9989838,0.0001030138,0.000260104,0.000007286216,0.000002081842,0.000003847744,0.0002738686,0.000003607025,0.0003624005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001776617,"threshold_uncertainty_score":0.003532588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004999795604692939,"score_gpt":0.1709031485629049,"score_spread":0.165903352958212,"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."}}