{"id":"W2044763591","doi":"10.1006/enfo.2002.0099","title":"Improved and Standardized Methodology for Oil Spill Fingerprinting","year":2002,"lang":"en","type":"article","venue":"Environmental Forensics","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oil spill; Identification (biology); Standardization; Environmental science; Engineering; Petroleum engineering; Computer science; Environmental engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001375147,0.0001156732,0.0001785268,0.00004068515,0.00007004249,0.00001718715,0.00004673617,0.00006557421,0.0001254431],"category_scores_gemma":[0.00002571852,0.0001110093,0.00007420503,0.00003985791,0.00006321372,0.00005373798,0.00003026557,0.00007830839,0.00001010876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004335948,"about_ca_system_score_gemma":7.793803e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002181801,"about_ca_topic_score_gemma":0.000007510886,"domain_scores_codex":[0.9994178,0.00002087253,0.0001611735,0.0001452236,0.00007451745,0.0001804271],"domain_scores_gemma":[0.9997176,0.00007090321,0.00002332872,0.000122203,0.000002295631,0.00006365992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005021436,0.00004950805,0.001292206,0.0001810861,0.0005693071,0.000009630128,0.003019924,0.02327596,0.2456382,0.0005030577,0.002113433,0.7232975],"study_design_scores_gemma":[0.001308548,0.00007433005,0.0001188463,0.0000091641,0.00009531557,0.000008777082,0.0003991486,0.9237558,0.04917369,0.001034158,0.02364947,0.0003727697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8177359,0.001763731,0.1757665,0.0003176618,0.000418175,0.0001963683,0.00007352685,0.0002630373,0.003465055],"genre_scores_gemma":[0.9671721,0.0007524678,0.03145029,0.00007189969,0.00006747153,0.00002295586,0.00001972258,0.00003130931,0.0004117475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9004799,"threshold_uncertainty_score":0.4526829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0270081524418451,"score_gpt":0.2265278916751874,"score_spread":0.1995197392333423,"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."}}