{"id":"W2131112911","doi":"10.1111/gcbb.12062","title":"Implications of land class and environmental factors on life cycle <scp>GHG</scp> emissions of Miscanthus as a bioenergy feedstock","year":2013,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; University of Toronto; University of Waterloo; University of Guelph; Saskatchewan Research Council (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Miscanthus; Greenhouse gas; Environmental science; Life-cycle assessment; Energy crop; Bioenergy; Land use, land-use change and forestry; Biomass (ecology); Agroforestry; Land use; Biofuel; Agronomy; Production (economics); Waste management; Engineering; Ecology; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.00005890883,0.0001935034,0.0002324203,0.0000459268,0.0001650235,0.00002837134,0.000219835,0.0001191519,0.000459148],"category_scores_gemma":[0.00005136534,0.00008486399,0.00009862607,0.0002242238,0.000224225,0.00008212366,0.0001406664,0.0000703211,0.00001496841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002115868,"about_ca_system_score_gemma":0.000009246729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003348087,"about_ca_topic_score_gemma":0.0002740434,"domain_scores_codex":[0.9988049,0.00005318812,0.0003126024,0.0003769804,0.0001895385,0.0002627724],"domain_scores_gemma":[0.9992738,0.00009987062,0.0001981575,0.0001552735,0.00003094828,0.0002419621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001333366,0.0006227128,0.01619841,0.000016473,0.0001118538,5.708116e-7,0.0001695832,0.0001956968,0.9191787,0.007308999,0.01101089,0.0451728],"study_design_scores_gemma":[0.0004004582,0.0009045758,0.6154388,0.00003094043,0.00004541926,0.000006499564,0.002510909,0.000144734,0.1436405,0.001035824,0.2356147,0.0002265893],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926683,0.0001963429,0.000003605229,0.002653857,0.00009947454,0.000150813,0.0000922247,0.00004006474,0.004095345],"genre_scores_gemma":[0.9965886,0.0004051311,0.00004076406,0.0003653225,0.0000873989,0.00003329666,0.0001813722,0.00000283672,0.002295255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7755382,"threshold_uncertainty_score":0.5061329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217675976540144,"score_gpt":0.1966558080275641,"score_spread":0.1844790482621627,"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."}}