{"id":"W2062738884","doi":"10.7901/2169-3358-2005-1-1081","title":"SOURCE IDENTIFICATION OF AN UNKNOWN SPILL (2002) FROM QUEBEC BY THE MULTI-CRITERION ANALYTICAL APPROACH AND LAB SIMULATION OF THE SPILL SAMPLE","year":2005,"lang":"en","type":"article","venue":"International Oil Spill Conference Proceedings","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Oil spill; Sample (material); Environmental science; Diesel fuel; Sample preparation; Chromatography; Chemistry; Engineering; Waste management; Environmental engineering","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":[0.0002140669,0.0001707864,0.0001879981,0.00006356633,0.000101985,0.0001294706,0.0006547784,0.0001189967,0.0005389412],"category_scores_gemma":[0.0002412216,0.0001228611,0.0000733182,0.0001850947,0.0002246501,0.0002015497,0.0001434582,0.0002017403,0.000002400007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000997458,"about_ca_system_score_gemma":0.00003466249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002317988,"about_ca_topic_score_gemma":0.0001667799,"domain_scores_codex":[0.998498,0.000009456683,0.0005433859,0.0003741324,0.0004261146,0.0001488887],"domain_scores_gemma":[0.998612,0.00009834634,0.0004769639,0.0002431954,0.0005117719,0.00005766922],"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":[0.0001430252,0.0009606345,0.03139961,0.0002185221,0.0001998511,1.07059e-7,0.0028568,0.0007802653,0.6900806,0.1218923,0.0004285809,0.1510397],"study_design_scores_gemma":[0.0005334865,0.00002506917,0.008313392,0.00008182471,0.00007032351,0.00000384453,0.000542032,0.8097919,0.159981,0.002502778,0.01790947,0.0002449644],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766727,0.00005543966,0.01525114,0.001475234,0.00002964003,0.0001243103,0.0002682666,0.00006723405,0.006056019],"genre_scores_gemma":[0.9951229,0.00003662072,0.003059232,0.00006687654,0.0001174507,0.00004449001,0.0001174106,0.00001705848,0.00141795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8090116,"threshold_uncertainty_score":0.5901028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02413568331253911,"score_gpt":0.2874659882503283,"score_spread":0.2633303049377891,"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."}}