{"id":"W390810642","doi":"","title":"Use of near Infrared Reflectance Spectroscopy for the Characterization of Wheat and Barley Grain Entering Feedlots in Western Canada","year":2015,"lang":"en","type":"article","venue":"SHAREOK (University of Oklahoma)","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Near infrared reflectance spectroscopy; Reflectivity; Environmental science; Near-infrared spectroscopy; Characterization (materials science); Agronomy; Spectroscopy; Remote sensing; Materials science; Geography; Optics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003687564,0.0003747524,0.0004059308,0.0007153521,0.001445039,0.0009466945,0.0004951436,0.000232012,0.0003838395],"category_scores_gemma":[0.0004567323,0.0002939109,0.0001952466,0.001207223,0.0004296594,0.0001818939,0.0001891874,0.0002677584,0.0001332574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007410888,"about_ca_system_score_gemma":0.004630665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.913285,"about_ca_topic_score_gemma":0.9772873,"domain_scores_codex":[0.9996506,0.00002343736,0.00001362347,0.00009206409,0.0001331131,0.0000872165],"domain_scores_gemma":[0.9995391,0.00004614068,0.0000666093,0.00001268997,0.0002313311,0.0001041777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001212222,0.0002966203,0.8333831,0.00009284955,0.00009875897,0.000574152,0.002598398,0.0006167481,0.1417208,0.00006617685,0.0003039216,0.01903619],"study_design_scores_gemma":[0.000005337434,0.0001305288,0.994332,0.000005163248,0.00001637013,0.00006786582,0.001081777,0.000683681,0.003290367,0.000007060338,0.0003726409,0.000007255989],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999314,0.00005697997,0.0001468448,0.000007650157,9.28165e-7,0.00001158849,0.0001956338,0.000004925127,0.0002614772],"genre_scores_gemma":[0.9966635,0.0001492162,0.0013757,0.00003659198,0.000001140297,0.000008494136,0.0006808114,0.000007925987,0.001076578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08671504,"threshold_uncertainty_score":0.1744514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03926640722637242,"score_gpt":0.2377465493352813,"score_spread":0.1984801421089089,"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."}}