{"id":"W4386636555","doi":"10.1038/s41467-023-40899-2","title":"Feeding climate and biodiversity goals with novel plant-based meat and milk alternatives","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consortium of International Agricultural Research Centers; European Commission; United States Agency for International Development","keywords":"Biodiversity; Agriculture; Greenhouse gas; Land use; Agricultural land; Climate change; Natural resource economics; Agroforestry; Ecosystem services; Food security; Ecosystem; Environmental science; Environmental protection; Business; Environmental resource management; Geography; Ecology; Biology; Economics","routes":{"ca_aff":false,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001521475,0.0001047187,0.00008918106,0.00003086444,0.0005265714,0.00003577107,0.0002940761,0.00009678692,0.00002756326],"category_scores_gemma":[0.00003180936,0.00007566687,0.0000170079,0.0002289248,0.0005078492,0.000206437,0.0006389326,0.0003048803,0.00002443199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007174539,"about_ca_system_score_gemma":0.000003161383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001461437,"about_ca_topic_score_gemma":0.0007246586,"domain_scores_codex":[0.9993799,0.00003752893,0.00007138056,0.0001870788,0.0001449323,0.0001791997],"domain_scores_gemma":[0.9993612,0.0001411471,0.00004302344,0.0003608283,0.000004942703,0.00008889331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002699929,0.00009366695,0.990559,0.00001251806,0.00001814916,0.000002639693,0.0009782489,0.0002123277,0.005398629,0.0003295319,0.001849348,0.0005188793],"study_design_scores_gemma":[0.0003272283,0.00004163524,0.9891131,0.00001266863,0.00002166943,0.000007955158,0.001363138,0.0007514762,0.0005257012,0.00003092,0.007673251,0.0001312369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934987,0.0002794488,0.00002338833,0.00458514,0.00001440434,0.0001902526,0.0002016551,0.0000697647,0.001137235],"genre_scores_gemma":[0.9969518,0.0007391527,0.001852672,0.0002995534,0.000004592781,0.000006966428,0.0001027638,0.000003887947,0.00003863262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005823903,"threshold_uncertainty_score":0.4050015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179076925462846,"score_gpt":0.2507355632953719,"score_spread":0.2328278707490873,"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."}}