{"id":"W2503795189","doi":"10.1016/b978-012369523-9/50018-5","title":"Oil spill remote sensingA forensic approach","year":2007,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Oil spill; Remote sensing; Environmental science; Snow; Computer science; Engineering; Meteorology; Geography; Environmental 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003826538,0.001162301,0.0004472008,0.002221912,0.0007212291,0.003049815,0.0011534,0.002077641,0.06917816],"category_scores_gemma":[0.0004123647,0.0005336718,0.0003540706,0.001730822,0.0009409649,0.002633503,0.001454667,0.00125769,0.03027145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004344,"about_ca_system_score_gemma":0.0009101393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00386935,"about_ca_topic_score_gemma":0.008502942,"domain_scores_codex":[0.9997514,0.00002707448,0.000008676613,0.0000404505,0.0001590121,0.00001344587],"domain_scores_gemma":[0.9998249,0.00005595329,0.000008487867,0.0000269378,0.00006993774,0.00001381816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000008653403,0.00006985669,0.0001985952,0.0003163984,0.00001142931,0.0002771719,0.0001657143,0.001870612,0.005094203,0.09378304,0.1334489,0.7647553],"study_design_scores_gemma":[0.000001462229,0.000008855163,0.0003232503,0.0001884455,0.000004940589,0.0006282821,0.0001186085,0.001418679,0.001443597,0.0433492,0.9525031,0.0000115374],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001373782,0.02846709,0.08595037,0.002829137,0.001408661,0.00006059388,0.0003705842,0.001073,0.8784668],"genre_scores_gemma":[0.0081133,0.03136559,0.04058355,0.0008540541,0.0007159088,0.00004569194,0.0004524953,0.0002886696,0.9175807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06917816,"threshold_uncertainty_score":0.231424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01935533419137574,"score_gpt":0.2242982549476199,"score_spread":0.2049429207562442,"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."}}