{"id":"W2902985569","doi":"10.18331/brj2018.5.4.4","title":"First-order estimates of the costs, input-output energy analysis, and energy returns on investment of conventional and emerging biofuels feedstocks","year":2018,"lang":"en","type":"article","venue":"Biofuel Research Journal","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Iowa State University; U.S. Department of Agriculture","keywords":"Biofuel; Biomass (ecology); Environmental science; Bioenergy; Greenhouse gas; Energy crop; Crop; Investment (military); Cellulosic ethanol; Production (economics); Agricultural engineering; Agronomy; Economics; Ecology; Biology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001311532,0.0009374964,0.0004104297,0.001303081,0.0003991183,0.001328795,0.00106162,0.0007655844,0.005874354],"category_scores_gemma":[0.004152219,0.0007501713,0.001346253,0.001500563,0.0002969316,0.001977399,0.0003368113,0.0008727512,0.001053457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003294678,"about_ca_system_score_gemma":0.002538993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01969976,"about_ca_topic_score_gemma":0.01960519,"domain_scores_codex":[0.9996157,0.0000843724,0.00002809268,0.00007748431,0.0001404787,0.00005388367],"domain_scores_gemma":[0.9977443,0.001475529,0.000222304,0.0001543996,0.0003794477,0.00002400499],"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":[0.00001909136,0.00002620122,0.002643052,0.00006452146,0.00003569696,0.00002155455,0.00001874431,0.9839663,0.0007632165,0.004832603,0.0002334786,0.007375455],"study_design_scores_gemma":[0.0000132178,0.00006931538,0.004497752,0.00004219784,0.00006144786,0.00006429175,0.00005694978,0.9744304,0.006056598,0.01100438,0.003668725,0.00003472096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4446721,0.0005226638,0.4791164,0.0004674518,0.00004724743,0.0003184693,0.01081512,0.000920486,0.06312001],"genre_scores_gemma":[0.9212403,0.0004834384,0.06323301,0.00005666315,0.00001091921,0.0002755857,0.003086395,0.0001716644,0.01144202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01969976,"threshold_uncertainty_score":0.03917015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962505652468471,"score_gpt":0.2914144661894699,"score_spread":0.2717894096647852,"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."}}