{"id":"W2914065248","doi":"10.1016/j.saa.2019.02.011","title":"Using vibrational ATR-FTIR spectroscopy with chemometrics to reveal faba CHO molecular spectral profile and CHO nutritional features in ruminant systems","year":2019,"lang":"en","type":"article","venue":"Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Chemistry; Tannin; Fourier transform infrared spectroscopy; Spectroscopy; Analytical Chemistry (journal); Food science; Environmental chemistry; Optics","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":[0.0005205346,0.0003298454,0.0002651102,0.0005260273,0.000244203,0.0005442976,0.000270393,0.0004225548,0.000603109],"category_scores_gemma":[0.0005186667,0.0002155906,0.0002549235,0.0005911326,0.0003030664,0.0005741321,0.0003204645,0.0004181142,0.000209985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002196378,"about_ca_system_score_gemma":0.0001737824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001071037,"about_ca_topic_score_gemma":0.001327318,"domain_scores_codex":[0.9998122,0.00003968528,0.00001098721,0.00006412627,0.00005310154,0.00001989588],"domain_scores_gemma":[0.9998519,0.00004750715,0.00004064103,0.00001493846,0.00003258111,0.00001236149],"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":[0.0001089381,0.00002485148,0.002210913,0.00005212913,0.00001744895,0.00001817404,0.00004095614,0.0003407816,0.9884037,0.0001043035,0.0000182995,0.008659423],"study_design_scores_gemma":[0.00001569722,0.0003644085,0.04584045,0.00001544014,0.0001062887,0.0003228954,0.0001818542,0.06001311,0.8909944,0.000497567,0.001609763,0.0000380697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9377555,0.001164943,0.05920567,0.0001202985,0.00002374388,0.00003854395,0.0003015698,0.0001841159,0.001205627],"genre_scores_gemma":[0.9452364,0.0006425051,0.05302196,0.00007475723,0.000009559913,0.00003208144,0.0001758054,0.000024215,0.0007827182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001071037,"threshold_uncertainty_score":0.002752841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010232460489135,"score_gpt":0.2403932810303087,"score_spread":0.2302909564254174,"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."}}