{"id":"W2303265427","doi":"10.1016/j.aca.2016.03.016","title":"Stoichiometric determination of moisture in edible oils by Mid-FTIR spectroscopy","year":2016,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; McGill University","funders":"","keywords":"Chemistry; Moisture; Water content; Fourier transform infrared spectroscopy; Analytical Chemistry (journal); Stoichiometry; Chromatography; Organic chemistry; Chemical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004502793,0.0004423121,0.0002620968,0.0005535795,0.0002998338,0.0003333233,0.000586985,0.0003764073,0.00117479],"category_scores_gemma":[0.0007486591,0.0003170614,0.0002333827,0.0004216832,0.0002864933,0.0006900915,0.0003283043,0.0007124039,0.0004287178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003310182,"about_ca_system_score_gemma":0.0001989125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072396,"about_ca_topic_score_gemma":0.001740237,"domain_scores_codex":[0.9994091,0.00007367675,0.00003405081,0.0001762485,0.0002654536,0.00004154495],"domain_scores_gemma":[0.9998389,0.00004650063,0.00003080623,0.00002340068,0.00004885943,0.00001154575],"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":[0.00008091615,0.00001666207,0.0005934327,0.00003744201,0.000007339144,0.00001999725,0.00002508938,0.0001021928,0.9958395,0.0001295299,0.00003718919,0.003110692],"study_design_scores_gemma":[0.000002623469,0.000034194,0.001689594,0.000004246833,0.000005913883,0.00003466186,0.00002018525,0.001563556,0.9959363,0.00005460882,0.0006502478,0.000003915315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9234346,0.00290809,0.06491391,0.0001249469,0.00009832926,0.0001269929,0.001765167,0.0003815982,0.00624639],"genre_scores_gemma":[0.9676298,0.001429355,0.02843511,0.00005964953,0.00001656793,0.00008284566,0.000643607,0.0000582121,0.001644855],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00117479,"threshold_uncertainty_score":0.003930032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009286353461905,"score_gpt":0.2672945220969729,"score_spread":0.2572016585623538,"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."}}