{"id":"W4249830072","doi":"10.5958/0974-181x.2016.00028.7","title":"Evaluation of Acacia nilotica Seeds for Protein and Carbohydrate Fractions, Gas Production, Energy Value and Mineral Contents from Diverse Locations in India","year":2016,"lang":"en","type":"article","venue":"Animal Nutrition and Feed Technology","topic":"Food composition and properties","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Acacia; Production (economics); Value (mathematics); Veterinary medicine; Environmental science; Mathematics; Biology; Medicine; Botany; Statistics; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001690732,0.00009843452,0.0001545871,0.0003506188,0.0001150586,0.00001455709,0.00003807299,0.0001621945,0.000006805422],"category_scores_gemma":[0.0001556364,0.00008422142,0.00001526157,0.0001789678,0.000232658,0.0001552764,0.00002644791,0.00006419624,5.978814e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000438661,"about_ca_system_score_gemma":0.00001299333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001987342,"about_ca_topic_score_gemma":0.0001216434,"domain_scores_codex":[0.9992092,0.00009199688,0.0002105781,0.0002485522,0.0001186007,0.0001210351],"domain_scores_gemma":[0.9994985,0.00002966926,0.0000886687,0.00009529745,0.0002567008,0.00003112866],"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":[0.0007725612,0.000198336,0.003427319,0.00003720159,0.00003177608,2.853596e-7,0.0001501582,3.732261e-7,0.9623423,0.00543226,0.0001204221,0.02748705],"study_design_scores_gemma":[0.01479981,0.004826988,0.1822647,0.001139627,0.0004432029,0.00004506355,0.003239675,0.004306404,0.6674033,0.11608,0.004830571,0.0006206048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858756,0.0008836241,0.0000560538,0.01238562,0.00007137582,0.0005957639,0.0000413859,0.00005439559,0.00003618777],"genre_scores_gemma":[0.9988226,0.0001353115,0.0006117109,0.00006997147,0.0000405235,0.0002731093,0.00002104824,0.000009340532,0.0000163325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.294939,"threshold_uncertainty_score":0.343445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02632714691570846,"score_gpt":0.2609472848531686,"score_spread":0.2346201379374602,"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."}}