{"id":"W2071256460","doi":"10.1016/j.saa.2013.05.056","title":"Using ATR–FT/IR to detect carbohydrate-related molecular structure features of carinata meal and their in situ residues of ruminal fermentation in comparison with canola meal","year":2013,"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":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Agriculture and Agri-Food Canada; Beef Cattle Research Council","keywords":"Canola; Chemistry; Food science; Meal; Carbohydrate; Fermentation; In situ; Biochemistry; 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":[0.0001241991,0.0004073381,0.0001524446,0.0003320242,0.000240841,0.0002326309,0.0002208282,0.0003261754,0.001431155],"category_scores_gemma":[0.0001535996,0.0001968287,0.0001994441,0.0003082998,0.0002636583,0.0002704418,0.0001391105,0.0005105518,0.0002041035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001257405,"about_ca_system_score_gemma":0.0001140486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009999194,"about_ca_topic_score_gemma":0.001398844,"domain_scores_codex":[0.9999406,0.000006489122,0.000002003352,0.00002005978,0.000009995633,0.00002078883],"domain_scores_gemma":[0.9999136,0.00002322004,0.00002096842,0.000006451479,0.00001807005,0.00001759202],"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":[0.0002225156,0.00001106441,0.0003595929,0.00001996792,0.00000632077,0.00002864506,0.00002541103,0.00001380583,0.9982875,0.000016359,0.000008838445,0.001000006],"study_design_scores_gemma":[0.00001167142,0.0002199942,0.03950768,0.000004732572,0.00005593437,0.0002944176,0.000167765,0.0007557927,0.9576936,0.00003734357,0.001240545,0.00001051353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971544,0.0005658942,0.00139738,0.00003855114,0.00001415676,0.000004391865,0.00009969278,0.00001594362,0.0007096868],"genre_scores_gemma":[0.9944857,0.0005303248,0.002853948,0.00005168305,0.00001184801,0.00001763129,0.0003277316,0.00001715025,0.001703959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001431155,"threshold_uncertainty_score":0.004787743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009808722855175126,"score_gpt":0.2449937367851183,"score_spread":0.2351850139299432,"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."}}