{"id":"W1989567734","doi":"10.1016/j.biortech.2013.09.076","title":"A Life Cycle Assessment of integrated dairy farm-greenhouse systems in British Columbia","year":2013,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Life-cycle assessment; Anaerobic digestion; Greenhouse gas; Environmental science; Biogas; Food waste; Digestate; Manure; Renewable resource; Manure management; Renewable energy; Eutrophication; Waste management; Bioenergy; Environmental engineering; Environmental protection; Biofuel; Engineering; Agronomy; Methane; Nutrient; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001813973,0.0001348095,0.0003073287,0.00006620801,0.00007571935,0.00007197978,0.0004084581,0.0003228811,0.001668419],"category_scores_gemma":[0.0001372639,0.0001592298,0.00005321464,0.0007117406,0.0007146566,0.0001200863,0.0003620409,0.0003004407,0.0001061817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005487068,"about_ca_system_score_gemma":0.0000239527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.210398,"about_ca_topic_score_gemma":0.04140899,"domain_scores_codex":[0.9984996,0.00007381824,0.000399011,0.0003805428,0.0002243199,0.0004226563],"domain_scores_gemma":[0.9993077,0.00002441647,0.0001373211,0.0003704225,0.000009714748,0.0001504549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001905715,0.0003172172,0.9761192,0.00002065437,0.00001165534,0.00001748121,0.00008184098,0.001584075,0.004943357,0.00001408841,0.002811417,0.01407711],"study_design_scores_gemma":[0.0003932657,0.0001735825,0.9845328,0.00003231037,0.000008014013,0.00003380918,0.005397125,0.002192849,0.00005117889,0.0002597297,0.006718909,0.0002063926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973944,0.0001273295,0.00008635945,0.0003596164,0.00003515783,0.0007103917,0.00001660152,0.0001592659,0.001110899],"genre_scores_gemma":[0.9987774,0.00001805212,0.0004462133,0.00009805791,0.000008692651,0.0001342898,0.00001022019,0.00001675223,0.000490259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.168989,"threshold_uncertainty_score":0.9992442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004093011970905069,"score_gpt":0.2015823834924084,"score_spread":0.1974893715215033,"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."}}