{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003719625,0.0002717338,0.0002835114,0.0004310597,0.0002292434,0.000549668,0.0002279146,0.0002682787,0.001091395],"category_scores_gemma":[0.0002765407,0.0001202288,0.0003411619,0.0002652538,0.0002359474,0.0003241489,0.0002753899,0.0003573901,0.0001067245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006307434,"about_ca_system_score_gemma":0.0001774485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006608308,"about_ca_topic_score_gemma":0.01151978,"domain_scores_codex":[0.9998277,0.00002787543,0.00001002896,0.00004383706,0.00005845312,0.00003206753],"domain_scores_gemma":[0.9998747,0.00001644014,0.0000372916,0.00000818919,0.00003865211,0.00002467025],"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":[0.001589555,0.0004788373,0.02068158,0.0001626777,0.0001241353,0.0002569816,0.0001992333,0.0009430503,0.9641997,0.0001547088,0.0001235078,0.01108602],"study_design_scores_gemma":[0.00007360244,0.0101923,0.395833,0.00009786148,0.000516159,0.0006992447,0.001811432,0.00697156,0.5755983,0.0001666762,0.007932869,0.0001070505],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995072,0.0001500618,0.0001097848,0.00001140626,0.000003257871,0.000004728643,0.00007813181,0.000004112958,0.0001313845],"genre_scores_gemma":[0.9972505,0.0001778052,0.001092132,0.00004664925,0.00000252202,0.000008357753,0.000423829,0.000008949389,0.0009891707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006608308,"threshold_uncertainty_score":0.01313967,"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."}}