{"id":"W4294845609","doi":"10.5539/ijsp.v11n5p18","title":"Nonlinear Mixed Models Applied to Ruminal Degradability Studies","year":2022,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Silage; Pennisetum purpureum; Dry matter; Mathematics; Microbial inoculant; Latin square; Animal science; Food science; Chemistry; Biology; Horticulture","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008169579,0.002485685,0.002158177,0.001567509,0.0006950735,0.001602403,0.002387895,0.002101229,0.003201185],"category_scores_gemma":[0.01571671,0.0009319045,0.002975777,0.001710332,0.0007600655,0.001074028,0.001969655,0.002929637,0.000874911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345543,"about_ca_system_score_gemma":0.001396636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01090878,"about_ca_topic_score_gemma":0.00865282,"domain_scores_codex":[0.9951181,0.00361493,0.000215499,0.0004969719,0.0003792756,0.0001751271],"domain_scores_gemma":[0.9902024,0.008143209,0.000566241,0.0002710595,0.0007229846,0.00009397406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000314857,0.0001718433,0.002802294,0.0005965905,0.0005746472,0.0003324065,0.0003534115,0.8771192,0.002111953,0.05184944,0.0009598325,0.06281354],"study_design_scores_gemma":[0.00001474766,0.0000778122,0.000242824,0.00001286302,0.00003589368,0.00001836329,0.00002013745,0.9887211,0.0003409121,0.009483478,0.001012722,0.00001914887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008158212,0.000769393,0.9896805,0.0001251844,0.00009019102,0.0001437638,0.0002164466,0.0001707732,0.0006454733],"genre_scores_gemma":[0.3508435,0.003182479,0.6322916,0.0003065577,0.0004233796,0.002823099,0.00125918,0.0002183285,0.008651941],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01090878,"threshold_uncertainty_score":0.04320538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05232597071205167,"score_gpt":0.2893167898530245,"score_spread":0.2369908191409728,"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."}}