{"id":"W2909030848","doi":"10.1039/c8em00493e","title":"Monitoring of polycyclic aromatic hydrocarbon contamination at four oil spill sites using fluorescence spectroscopy coupled with parallel factor-principal component analysis","year":2019,"lang":"en","type":"article","venue":"Environmental Science Processes & Impacts","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Environmental science; Sediment; Environmental chemistry; Principal component analysis; Bay; Weathering; Contamination; Oil spill; Fluorescence spectrometry; Petroleum; Geology; Chemistry; Environmental engineering; Oceanography; Ecology; Fluorescence; Geochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002835563,0.0002899482,0.0003245746,0.0002071497,0.0003291394,0.00007755589,0.0003816107,0.000061639,0.0003997563],"category_scores_gemma":[0.00005059584,0.0002451616,0.00007544952,0.001406911,0.0007087041,0.0009201202,0.0002115783,0.0001223082,0.0001406533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001413154,"about_ca_system_score_gemma":0.00004749373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004308646,"about_ca_topic_score_gemma":0.0001408989,"domain_scores_codex":[0.997044,0.00003628782,0.000367632,0.0006403336,0.001340189,0.0005715281],"domain_scores_gemma":[0.9988727,0.00005315148,0.0004336167,0.0003427749,0.000005092282,0.0002926763],"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":[0.00003246936,0.00005258841,0.4505956,0.00001748256,0.00001797506,0.000001513521,0.0003802405,0.004278375,0.54434,2.053363e-7,8.530289e-8,0.0002834961],"study_design_scores_gemma":[0.0003552099,0.0001794003,0.6036779,0.00004540574,0.00006950158,0.00001131594,0.0002493863,0.02327493,0.3719155,0.000008130202,0.000002645058,0.000210699],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988921,0.00007274626,0.000263155,0.00002048888,0.00007668475,0.0002371015,0.000005383139,0.00004022986,0.000392166],"genre_scores_gemma":[0.9970829,0.0001048331,0.002620873,0.0000202271,0.00001793342,0.0000106137,0.000008380912,0.00001884733,0.0001153481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1724246,"threshold_uncertainty_score":0.9997398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227043358359941,"score_gpt":0.2371412916988047,"score_spread":0.2248708581152053,"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."}}