{"id":"W3094066541","doi":"10.1039/d0ay01510e","title":"Tiered approach to long-term weathered lubricating oil analysis: GC/FID, GC/MS diagnostic ratios, and multivariate statistics","year":2020,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Multivariate statistics; Statistics; Term (time); Gas chromatography–mass spectrometry; Chromatography; Gas chromatography; Multivariate analysis; Environmental science; Mathematics; Chemistry; Mass spectrometry; Physics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004503869,0.0003049091,0.0006585075,0.0001288611,0.0001711352,0.0001462934,0.0003722402,0.0001660327,0.00163418],"category_scores_gemma":[0.002850896,0.0002838909,0.0001627697,0.001360476,0.00009232312,0.00004992892,0.000227978,0.0003679779,0.00001949572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000651314,"about_ca_system_score_gemma":0.00003264514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009573986,"about_ca_topic_score_gemma":0.000005233227,"domain_scores_codex":[0.9977752,0.000148428,0.0005928893,0.0007960737,0.0002691924,0.0004182447],"domain_scores_gemma":[0.9969147,0.001643359,0.0001725545,0.0005948196,0.0001115936,0.0005629006],"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":[0.0002249711,0.002022086,0.1261254,0.001856413,0.0068028,0.00008781627,0.002316033,0.0008157543,0.1014794,0.2324779,0.004504756,0.5212867],"study_design_scores_gemma":[0.001349697,0.000219542,0.04040946,0.00009791045,0.006876619,0.00001922073,0.0003288996,0.9093643,0.02801848,0.006021759,0.005374441,0.001919607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007282282,0.0001815777,0.9644415,0.001025975,0.000009285229,0.0001298397,0.0001504807,0.0002277054,0.0265513],"genre_scores_gemma":[0.3468945,0.00006503283,0.6514997,0.0003226885,0.000126596,0.0001329748,0.0001152074,0.00003512777,0.0008081556],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9085486,"threshold_uncertainty_score":0.9999613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05055061360823523,"score_gpt":0.375317414966669,"score_spread":0.3247668013584338,"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."}}