{"id":"W4388096412","doi":"10.46254/eu6.20230216","title":"Optimization of Economic Viability for Meat Alternatives","year":2023,"lang":"en","type":"article","venue":"","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toyota Motor Corporation (Canada)","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001001972,0.001185113,0.0008594889,0.001158395,0.0003873173,0.00185546,0.0007592848,0.001293964,0.01000361],"category_scores_gemma":[0.004451405,0.0006968168,0.0008847299,0.0007932648,0.0005879538,0.001245073,0.0008495516,0.00104669,0.0005344982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392992,"about_ca_system_score_gemma":0.001267146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00279095,"about_ca_topic_score_gemma":0.003069501,"domain_scores_codex":[0.9995847,0.0001625757,0.00001431341,0.00006364608,0.00007264666,0.0001020338],"domain_scores_gemma":[0.9986894,0.001007099,0.00008288342,0.00003607518,0.0001260461,0.00005852476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002092698,0.0001248784,0.0008593301,0.0002738292,0.00004277074,0.000166721,0.00003433639,0.9693061,0.001806942,0.01134859,0.001230769,0.01459656],"study_design_scores_gemma":[0.0000431479,0.0002835702,0.001214422,0.0001350487,0.00005610201,0.00007468133,0.0002299926,0.9793114,0.00139724,0.01218135,0.005051443,0.00002165691],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6359632,0.00511303,0.2267405,0.001680511,0.0002219767,0.0008192484,0.002964192,0.0002309791,0.1262663],"genre_scores_gemma":[0.9414919,0.001326881,0.04577662,0.0001435636,0.00002078296,0.0004047904,0.0008688811,0.0001006296,0.009865996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01000361,"threshold_uncertainty_score":0.03346539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079030249844853,"score_gpt":0.2516064327453791,"score_spread":0.2408161302469306,"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."}}