{"id":"W3067463055","doi":"10.3390/su12176712","title":"Nutritional and Environmental Sustainability of Lentil Reformulated Beef Burger","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indian Institute of Technology Kanpur; Government of Canada","keywords":"Sustainability; Nutrient; Palatability; Micronutrient; Agriculture; Life-cycle assessment; Nutrient density; Agricultural science; Business; Environmental science; Food science; Economics; Biology; Production (economics); Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000510756,0.0003530385,0.0004284726,0.00002987211,0.0002370165,0.00002588138,0.0002867136,0.0001962199,0.002028504],"category_scores_gemma":[0.0007939498,0.0002972295,0.0001963773,0.0003611351,0.001646436,0.0006074239,0.0007175884,0.0003239095,0.0000195552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002632218,"about_ca_system_score_gemma":0.00007904185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004565545,"about_ca_topic_score_gemma":0.00001143613,"domain_scores_codex":[0.9971792,0.000208439,0.000598642,0.000828811,0.0005587779,0.0006261867],"domain_scores_gemma":[0.998735,0.0001037961,0.0001721967,0.0004451467,0.00005141222,0.0004924958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005498228,0.001171286,0.9785287,0.0006331433,0.0000453151,0.00003676761,0.003600971,0.002322244,0.003876309,0.0004931515,0.001168855,0.007573428],"study_design_scores_gemma":[0.001006093,0.0005022987,0.9488292,0.000006207038,0.00005692834,0.00001641221,0.01109931,0.0009651626,0.002727031,0.02515063,0.009104948,0.0005358301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910518,0.0000946845,0.000251767,0.006855787,0.00002485187,0.001084573,0.00009742014,0.00007018156,0.000468925],"genre_scores_gemma":[0.9991305,0.00002171155,0.0001516071,0.0003321019,0.0000403836,0.00003874008,0.00007092043,0.00002028228,0.0001937945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02969956,"threshold_uncertainty_score":0.999948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005547376985861809,"score_gpt":0.2111676684373273,"score_spread":0.2056202914514655,"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."}}