{"id":"W2921913441","doi":"10.3389/fmars.2019.00110","title":"A Glider-Compatible Optical Sensor for the Detection of Polycyclic Aromatic Hydrocarbons in the Marine Environment","year":2019,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"European Commission; Institut Français de Recherche pour l'Exploitation de la Mer","keywords":"Phenanthrene; Pyrene; Environmental science; Glider; Seawater; Naphthalene; Environmental chemistry; Oil spill; Diesel fuel; Calibration; Polycyclic aromatic hydrocarbon; Submarine pipeline; Ballast; Chemistry; Environmental engineering; Oceanography; Marine engineering; Geology; Organic chemistry; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001069976,0.0001019541,0.0001289898,0.0001166551,0.000120127,0.00002950184,0.0004346915,0.00003349473,0.00005945822],"category_scores_gemma":[0.0001038484,0.00006628416,0.00004630605,0.000691606,0.0005269195,0.0001919962,0.000213529,0.0001362568,0.00004155168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002156278,"about_ca_system_score_gemma":0.00001361976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004470882,"about_ca_topic_score_gemma":0.0002133611,"domain_scores_codex":[0.9986804,0.0000484945,0.0002545129,0.0002941122,0.0004423234,0.0002802239],"domain_scores_gemma":[0.9994074,0.0001163197,0.00008878185,0.0003481871,8.609495e-7,0.00003848819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006408752,0.0001481978,0.7077473,0.000009309321,0.00000493948,0.000001177368,0.0007221642,0.002071723,0.08864727,0.00003825652,0.00006346434,0.2004821],"study_design_scores_gemma":[0.0005452873,0.0001651644,0.9068812,0.000007460676,0.000009610988,0.000007444693,0.0009364106,0.06917844,0.0174355,0.003674969,0.001038036,0.0001205249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864369,0.000007337671,0.007417067,0.0004262802,0.0003860433,0.0007266586,4.14952e-7,0.000009525002,0.004589788],"genre_scores_gemma":[0.9881026,0.00001752789,0.01136884,0.0001185985,0.00001270175,0.00007400859,9.355102e-7,0.000005958106,0.0002988043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2003615,"threshold_uncertainty_score":0.270299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005554834993563798,"score_gpt":0.2022835727098993,"score_spread":0.1967287377163355,"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."}}