{"id":"W2023162320","doi":"10.1016/j.talanta.2006.10.042","title":"An automated FTIR method for the routine quantitative determination of moisture in lubricants: An alternative to Karl Fischer titration","year":2006,"lang":"en","type":"article","venue":"Talanta","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"Communications Security Establishment; Thermal-Lube (Canada); McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Navy","keywords":"Acetonitrile; Fourier transform infrared spectroscopy; Chemistry; Extraction (chemistry); Moisture; Analytical Chemistry (journal); Lubricant; Gravimetric analysis; Chromatography; Chemical engineering; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001486718,0.001450393,0.001120504,0.002363478,0.0008207756,0.0007855596,0.002165589,0.00139871,0.00381784],"category_scores_gemma":[0.002098974,0.0007620473,0.0006395095,0.00123679,0.0006458837,0.001267602,0.001287451,0.002181236,0.00253321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003867213,"about_ca_system_score_gemma":0.0009075099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008489856,"about_ca_topic_score_gemma":0.002173595,"domain_scores_codex":[0.9968484,0.0005102276,0.0001434509,0.0005909057,0.001820847,0.0000861329],"domain_scores_gemma":[0.9981768,0.0006231513,0.0002242668,0.0003055568,0.0005897991,0.00008029084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001076579,0.0001081941,0.0004075448,0.0001797712,0.00003074578,0.0000409861,0.00007480333,0.0001864402,0.9517767,0.0004134337,0.0008903407,0.04578333],"study_design_scores_gemma":[0.00005864528,0.0005328891,0.003897968,0.00002911514,0.0001053969,0.00130161,0.0000643446,0.01407104,0.965856,0.0005316287,0.01344004,0.0001114409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0778726,0.002943716,0.9059929,0.0003346132,0.0005357376,0.0005146066,0.001531589,0.005980866,0.004293309],"genre_scores_gemma":[0.1347826,0.002121903,0.8510488,0.0003165907,0.0001480939,0.0005928522,0.0009424333,0.000527789,0.009518974],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00381784,"threshold_uncertainty_score":0.0127719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02346582981820209,"score_gpt":0.3748547531582596,"score_spread":0.3513889233400575,"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."}}