{"id":"W1712089805","doi":"10.1080/07038992.2015.1048849","title":"Surfactant Associated Bacteria in the Sea Surface Microlayer: Case Studies in the Straits of Florida and the Gulf of Mexico","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Bedford Institute of Oceanography","funders":"","keywords":"Racing slick; Water column; Synthetic aperture radar; Oceanography; Surface water; Pulmonary surfactant; Advection; Surface layer; Bacteria; Environmental science; Environmental chemistry; Chemistry; Geology; Mineralogy; Layer (electronics); Environmental engineering; Physics; Remote sensing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002543685,0.0004655134,0.0001628735,0.00154292,0.001321339,0.0004888395,0.0003892324,0.001057662,0.0005845242],"category_scores_gemma":[0.0007135097,0.0001523504,0.0002688632,0.0009615458,0.0006024928,0.000431484,0.0006951983,0.0003168308,0.00005528669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002111845,"about_ca_system_score_gemma":0.0009580471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3251934,"about_ca_topic_score_gemma":0.5133671,"domain_scores_codex":[0.9998052,0.00002774198,0.00001210701,0.00004188191,0.00004825436,0.00006478644],"domain_scores_gemma":[0.9996929,0.00006053932,0.0001097288,0.000008856528,0.00007046877,0.00005752096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001998697,0.0003574061,0.9442297,0.0002196116,0.00008708519,0.0174017,0.007808652,0.0007561248,0.01063428,0.0002269952,0.0004282156,0.01765039],"study_design_scores_gemma":[0.00001185186,0.0003193162,0.974826,0.00004828118,0.0000683714,0.003526097,0.01638608,0.0009425427,0.001824704,0.00006362882,0.001957006,0.00002617061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992045,0.0001647148,0.00007270814,0.00007895986,0.00000120944,0.00002105302,0.0001225792,0.000002078958,0.0003323456],"genre_scores_gemma":[0.9981267,0.000530472,0.0006239799,0.00003963289,0.000004268107,0.00001926817,0.0001573866,0.000001272727,0.0004969654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3251934,"threshold_uncertainty_score":0.6466011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03188431499570765,"score_gpt":0.2500837085381921,"score_spread":0.2181993935424844,"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."}}