{"id":"W2790762158","doi":"10.1016/j.renene.2018.02.128","title":"Coal-to-biomass retrofit in Alberta –value of forest residue bioenergy in the electricity system","year":2018,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"British Columbia Institute of Technology; University of Victoria","funders":"Pacific Institute for Climate Solutions","keywords":"Cost of electricity by source; Renewable energy; Bioenergy; Coal; Environmental science; Greenhouse gas; Biomass (ecology); Electricity generation; Fossil fuel; Electricity; Waste management; Engineering; Ecology; Power (physics)","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":[0.0004464007,0.0002588126,0.0003892898,0.0005974739,0.00004758402,0.00003219835,0.0004764248,0.0002514029,0.000008969276],"category_scores_gemma":[0.00008865276,0.0002131535,0.00005848236,0.0020314,0.00004217588,0.000117524,0.0000354636,0.0001054313,0.00000881001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004065442,"about_ca_system_score_gemma":0.0000638265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3940291,"about_ca_topic_score_gemma":0.3893164,"domain_scores_codex":[0.9980559,0.0002104847,0.0006381782,0.0002998622,0.0002873153,0.0005082043],"domain_scores_gemma":[0.9990185,0.0001464525,0.00009097302,0.0005706236,0.0001083354,0.00006514922],"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":[0.00002877249,0.00002087259,0.002752389,0.00006428833,0.00002150885,0.000009729896,0.0001887668,0.9660172,0.008043518,0.02159166,0.001219757,0.00004154838],"study_design_scores_gemma":[0.0005125247,0.0001783477,0.002265977,0.0003643306,0.00001233911,0.00002460984,0.0002445431,0.7629544,0.2273977,0.0001731315,0.005518538,0.0003535681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7677315,0.0004158212,0.09187557,0.0001680406,0.001141665,0.0003709685,0.00001386965,0.000300731,0.1379818],"genre_scores_gemma":[0.9980333,0.00002537639,0.0004618428,0.00005136963,0.0001909436,0.0000832517,0.0000318257,0.00006330228,0.001058756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2303018,"threshold_uncertainty_score":0.8692148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005049887274014045,"score_gpt":0.1911481925680392,"score_spread":0.1860983052940252,"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."}}