{"id":"W2185664932","doi":"10.1016/j.saa.2015.11.036","title":"Using non-invasive molecular spectroscopic techniques to detect unique aspects of protein Amide functional groups and chemical properties of modeled forage from different sourced-origins","year":2015,"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":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Saskatchewan Forage Network; Saskatchewan Canola Development Commission; Natural Sciences and Engineering Research Council of Canada; Saskatchewan Pulse Growers; Western Grains Research Foundation","keywords":"Amide; Forage; Chemistry; Molecular spectroscopy; Alfalfa hay; Chemical structure; Molecule; Crystallography; Biology; Organic chemistry; Botany; Rumen","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":[0.0001231462,0.0002936373,0.0001473119,0.0001297556,0.0001356291,0.0002675655,0.0002160761,0.0002816463,0.000402444],"category_scores_gemma":[0.000143636,0.0001157616,0.0001920809,0.0001322728,0.0001903376,0.0002656342,0.0001679652,0.0004833192,0.000111037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001654733,"about_ca_system_score_gemma":0.0001210906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005732673,"about_ca_topic_score_gemma":0.001100135,"domain_scores_codex":[0.9999448,0.000006489718,0.000002016231,0.00002377307,0.00001317378,0.000009653287],"domain_scores_gemma":[0.9998986,0.00002807633,0.0000335679,0.00001118941,0.00001680186,0.00001180052],"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":[0.0000274268,0.000003871867,0.0002218703,0.000008169974,0.000003660364,0.000005437956,0.000006748529,0.00002723418,0.9993262,0.00001235309,0.000002195214,0.0003547994],"study_design_scores_gemma":[0.000007924853,0.0001800396,0.01439578,0.000003053835,0.00004193451,0.0001229123,0.000067015,0.00273073,0.9817995,0.00006798844,0.0005754953,0.000007579861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892654,0.000277769,0.01002081,0.00002479239,0.000008570121,0.000007613205,0.0001250681,0.00003087182,0.000238996],"genre_scores_gemma":[0.9837863,0.0004407064,0.01465604,0.0000333615,0.000006212136,0.00002399916,0.0002987001,0.00001775205,0.0007369676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005732673,"threshold_uncertainty_score":0.00134635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02425713931530657,"score_gpt":0.2367968308963315,"score_spread":0.2125396915810249,"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."}}