{"id":"W1995262233","doi":"10.1016/j.biombioe.2012.01.027","title":"Ranking of biomass pellets by integration of economic, environmental and technical factors","year":2012,"lang":"en","type":"article","venue":"Biomass and Bioenergy","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Pellets; Biomass (ecology); Ranking (information retrieval); Renewable energy; Raw material; Environmental science; Bioenergy; Greenhouse gas; Life-cycle assessment; Poultry litter; Agricultural engineering; Biofuel; Mathematics; Waste management; Production (economics); Engineering; Economics; Agronomy; Computer science; Ecology","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":[0.001248701,0.0006554748,0.0008279076,0.004260815,0.0004351292,0.002432749,0.0003444658,0.0004024595,0.003290393],"category_scores_gemma":[0.002693421,0.000157308,0.0006838917,0.002192115,0.0002557695,0.000774885,0.000476257,0.0002792898,0.001387968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004496998,"about_ca_system_score_gemma":0.0005271871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001667744,"about_ca_topic_score_gemma":0.004668715,"domain_scores_codex":[0.9989141,0.0002265085,0.0000896328,0.00007308643,0.0004743836,0.0002221715],"domain_scores_gemma":[0.9974422,0.0009363584,0.0003472031,0.000144106,0.0008192572,0.0003107999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005453931,0.0005259497,0.5712205,0.0004655017,0.0006494872,0.0002953138,0.0001110157,0.02973568,0.07097932,0.002637444,0.003179968,0.3147459],"study_design_scores_gemma":[0.00014871,0.005960814,0.7502811,0.000114798,0.0005590825,0.0006234529,0.00174663,0.145022,0.07864164,0.005271848,0.01147031,0.0001595978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982033,0.0007207232,0.01047718,0.00008788012,0.00004229571,0.00005246406,0.001005518,0.0001429432,0.00543819],"genre_scores_gemma":[0.9885565,0.0002491303,0.007547581,0.00001259243,0.00001471015,0.00001434018,0.001527102,0.0000299761,0.002048072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004260815,"threshold_uncertainty_score":0.01100743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008102925896070897,"score_gpt":0.1931560324891681,"score_spread":0.1850531065930972,"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."}}