{"id":"W2067219098","doi":"10.1255/jnirs.334","title":"Visible and near Infrared Spectroscopy of Beef <i>Longissimus Dorsi</i> Muscle as a Means of Dicriminating between Pasture and Corn Silage Feeding Regimes","year":2002,"lang":"en","type":"article","venue":"Journal of Near Infrared Spectroscopy","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indigenous and Northern Affairs Canada","keywords":"Silage; Pasture; Near infrared reflectance spectroscopy; Beef cattle; Longissimus dorsi; Longissimus muscle; Animal science; Food science; Chemistry; Biology; Near-infrared spectroscopy; Agronomy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007507919,0.0002809363,0.0007855436,0.00005273768,0.0003377634,0.000181745,0.0003264283,0.0001658773,0.0004032286],"category_scores_gemma":[0.0003775644,0.0001411264,0.000183642,0.0004474319,0.0003684828,0.0004442629,0.0001310936,0.000475975,0.00000349752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003539155,"about_ca_system_score_gemma":0.00002672719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008943659,"about_ca_topic_score_gemma":0.000009955082,"domain_scores_codex":[0.997647,0.0001535454,0.0009020114,0.0003333109,0.0005542821,0.0004098048],"domain_scores_gemma":[0.9980803,0.0003447195,0.0009811167,0.0001204066,0.000222737,0.0002506915],"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":[0.0001308034,0.0001294818,0.03442954,0.000102273,0.00006317069,0.00002004308,0.001780277,0.000001910957,0.9584138,0.0001018903,0.002577309,0.002249544],"study_design_scores_gemma":[0.001493259,0.006429311,0.3929033,0.0006731777,0.0002575975,0.0001178757,0.003453761,0.0002585798,0.5796654,0.006139231,0.007972381,0.000636137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928945,0.001303192,0.00001189816,0.00101144,0.0000960675,0.0001810667,0.00004659167,0.00002175585,0.004433513],"genre_scores_gemma":[0.9928215,0.0004162661,0.005784362,0.0001133062,0.0005341229,0.000001000324,0.000005107581,0.000005762331,0.0003185762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3787484,"threshold_uncertainty_score":0.5754969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02901204282395538,"score_gpt":0.259009635664769,"score_spread":0.2299975928408136,"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."}}