{"id":"W2040585494","doi":"10.1111/j.1755-0238.2004.tb00004.x","title":"Screening method for petroleum-derived aromatic hydrocarbons in wine","year":2008,"lang":"en","type":"article","venue":"Australian Journal of Grape and Wine Research","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Government; Alberta Water Research Institute","keywords":"Alkylbenzenes; Wine; Chemistry; Chromatography; Toluene; Kerosene; Gas chromatography; Solid-phase microextraction; Mass spectrometry; Selected ion monitoring; Gas chromatography–mass spectrometry; Benzene; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001154886,0.00007552615,0.0002215316,0.000121943,0.0002071784,0.0000318383,0.0001367786,0.00004419425,0.00006123733],"category_scores_gemma":[0.0001261732,0.00003166707,0.0001177576,0.0005021799,0.00008550756,0.0001315392,0.0000154701,0.0002250237,0.0000016454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001132595,"about_ca_system_score_gemma":0.0000110555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001140567,"about_ca_topic_score_gemma":0.00004256518,"domain_scores_codex":[0.9987251,0.0002594082,0.0003223656,0.0001201628,0.0003107479,0.0002622439],"domain_scores_gemma":[0.9991894,0.000507303,0.00008859171,0.00002917887,0.00004069642,0.0001448414],"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":[0.0004341718,0.000222482,0.02812571,0.00001530509,0.0001514153,0.0003150166,0.0006911479,0.00006198909,0.9376561,0.00001990394,0.005065256,0.02724147],"study_design_scores_gemma":[0.002416973,0.002989952,0.9457817,0.0002226822,0.00006974386,0.0009414752,0.005389268,0.002168712,0.02444038,0.003380577,0.01185426,0.0003442851],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985437,0.00005170141,0.0000984073,0.01425814,0.00001342611,0.00008091373,0.000002393591,0.000003363256,0.00005459183],"genre_scores_gemma":[0.9959071,0.00007949149,0.002685731,0.00006377236,0.0002889516,0.000003169743,0.000006966636,9.13881e-7,0.0009639236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.917656,"threshold_uncertainty_score":0.159347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1784792135077638,"score_gpt":0.3851398044620831,"score_spread":0.2066605909543194,"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."}}