{"id":"W1965916866","doi":"10.7901/2169-3358-2008-1-285","title":"SOURCE IDENTIFICATION OF SPILLED DIESEL USING DIAGNOSTIC SESQUITERPANES AND DIAMONDOIDS","year":2008,"lang":"en","type":"article","venue":"International Oil Spill Conference Proceedings","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Diamondoid; Oil spill; Sample (material); Fuel oil; Environmental science; Identification (biology); Chromatography; Chemistry; Engineering; Waste management; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001560319,0.0001382443,0.0001427232,0.00009514696,0.0001401117,0.00005385565,0.0002009226,0.00006298174,0.0004325132],"category_scores_gemma":[0.0004364577,0.0001364452,0.00004406962,0.0001677959,0.0003334577,0.0004608151,0.0001408491,0.00008993161,0.00005499201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009615439,"about_ca_system_score_gemma":0.00001334035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000327426,"about_ca_topic_score_gemma":0.00001489636,"domain_scores_codex":[0.9987624,0.000007689525,0.0003642225,0.000303686,0.0004102224,0.0001518072],"domain_scores_gemma":[0.9993895,0.00005737395,0.000265389,0.00006585917,0.0001423051,0.0000796211],"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":[0.00004336212,0.00008712496,0.4715964,0.00004381205,0.00003244315,0.000002953957,0.003632146,0.000142754,0.495075,0.0008913886,0.0001654393,0.02828717],"study_design_scores_gemma":[0.001470479,0.0001918277,0.7622653,0.000197705,0.00006790755,0.0003159397,0.001235268,0.06007157,0.1647411,0.001922966,0.006804891,0.0007149867],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926165,0.00002695213,0.0009654922,0.0002203634,0.0002134457,0.00007259487,0.000006486113,0.00004772163,0.005830401],"genre_scores_gemma":[0.9976551,0.0002739049,0.0004638865,0.00008018454,0.00006067931,0.00002152677,0.000005832602,0.00001288692,0.001425991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3303339,"threshold_uncertainty_score":0.5564075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01900909488920257,"score_gpt":0.2373509987658594,"score_spread":0.2183419038766568,"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."}}