{"id":"W2061679874","doi":"10.7901/2169-3358-2008-1-297","title":"APPLICATION OF STATISTICAL ANALYSIS IN THE SELECTION OF DIAGNOSTIC RATIOS FOR FORENSIC IDENTIFICATION OF AN OIL SPILL SOURCE","year":2008,"lang":"en","type":"article","venue":"International Oil Spill Conference Proceedings","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Sterane; Diamondoid; Weathering; Environmental chemistry; Petroleum; Chromatography; Gas chromatography; Chemistry; Hydrocarbon; Source rock; Geology; Hopanoids; Organic chemistry; Geochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003583305,0.0001269531,0.0003038148,0.0002971987,0.00005953202,0.00003027917,0.0003927514,0.000080919,0.00004959222],"category_scores_gemma":[0.001045565,0.0001105012,0.0001181585,0.0005466897,0.0001592403,0.0001732867,0.00001950718,0.0001046173,9.257086e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005197943,"about_ca_system_score_gemma":0.0000722644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002973347,"about_ca_topic_score_gemma":0.00009303195,"domain_scores_codex":[0.9983451,0.000009622729,0.0007443076,0.0002908834,0.0004840198,0.0001260593],"domain_scores_gemma":[0.9974902,0.0003056571,0.0007680275,0.0001115037,0.001292554,0.00003200341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002228823,0.0005630782,0.2518823,0.0006102742,0.0005467261,6.532883e-7,0.00303634,0.00111025,0.6305221,0.01539727,0.00002870902,0.09607941],"study_design_scores_gemma":[0.00126773,0.0001480754,0.07116731,0.0001856815,0.001023141,0.00001902979,0.00214016,0.5390528,0.3817277,0.002472008,0.0004295986,0.0003668101],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507077,0.00001892779,0.04757088,0.0001438356,0.00001499902,0.00001604412,0.00008616417,0.00001633357,0.001425122],"genre_scores_gemma":[0.997983,0.00005830542,0.001209912,0.00001609661,0.00005652794,0.0001077895,0.0002302916,0.000009607602,0.0003284528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5379425,"threshold_uncertainty_score":0.4506109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01539995280882964,"score_gpt":0.273795855460378,"score_spread":0.2583959026515484,"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."}}