{"id":"W3181866333","doi":"10.1016/j.agsy.2021.103208","title":"Operations research for environmental assessment of crop-livestock production systems","year":2021,"lang":"en","type":"article","venue":"Agricultural Systems","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Sustainability; Life-cycle assessment; Computer science; Livestock; Agriculture; Production (economics); Strengths and weaknesses; Benchmarking; Decision support system; Decision tree; Data envelopment analysis; Management science; Environmental economics; Environmental resource management; Operations research; Business; Economics; Engineering; Mathematics; Artificial intelligence","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":[0.0002479911,0.00008280804,0.0001596196,0.00002877219,0.0001196038,0.00009782585,0.00005957878,0.00005359217,0.000009487551],"category_scores_gemma":[0.00004136951,0.00005869095,0.00004351273,0.000162394,0.00002383255,0.0001317002,0.00001893537,0.00008659527,0.000009052676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001280161,"about_ca_system_score_gemma":0.00001257107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001293086,"about_ca_topic_score_gemma":0.00000475711,"domain_scores_codex":[0.9990944,0.00007203788,0.0002857771,0.0001435974,0.0002352836,0.0001689342],"domain_scores_gemma":[0.9996188,0.00004712928,0.00001834236,0.0001243449,0.0001393178,0.00005206187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[8.127719e-7,0.0001021778,0.00008142398,0.0008079502,0.00006948138,9.249605e-7,0.0001633772,0.8563803,0.1276104,0.0116583,0.00280874,0.0003161163],"study_design_scores_gemma":[0.0006796129,0.0001978126,0.005589928,0.0005856869,0.00007433251,0.0001467061,0.01533977,0.9375325,0.01492863,0.00002611832,0.02434362,0.0005552867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9212736,0.00309086,0.06050476,0.0002463828,0.003287689,0.003865209,0.00006783194,0.0003301368,0.007333499],"genre_scores_gemma":[0.9927258,0.00004033497,0.003183088,4.564582e-7,0.0001921729,0.0003572838,0.0001013986,0.00001174999,0.003387669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1126818,"threshold_uncertainty_score":0.2393347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0458610968153151,"score_gpt":0.3107810420867116,"score_spread":0.2649199452713965,"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."}}