{"id":"W4241136798","doi":"10.5558/tfc2019-022","title":"Bioheat – A Clean Energy Option with Local Economic Benefits","year":2019,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Clean energy; Environmental science; Environmental economics; Natural resource economics; Mathematics; Economics; Environmental protection; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005821774,0.0001396924,0.0001129787,0.00003629507,0.00004811825,0.00003463417,0.0001669915,0.00008455116,0.0001163049],"category_scores_gemma":[6.518973e-7,0.00009669942,0.00003185284,0.00008676772,0.00003950235,0.0001625305,0.00001743741,0.00009553807,0.000299903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003425893,"about_ca_system_score_gemma":0.00003887279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005465222,"about_ca_topic_score_gemma":0.0008880357,"domain_scores_codex":[0.9993912,0.00001531454,0.0001396483,0.0001383908,0.00007716789,0.0002382872],"domain_scores_gemma":[0.9995747,0.00001535307,0.00002695892,0.0003266924,0.00001669275,0.00003964494],"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":[0.00001626083,0.000004108178,0.0001555044,0.0000106348,0.00002891453,6.466415e-7,0.0000396431,0.9774957,0.0002368284,0.01668422,0.0003104141,0.005017162],"study_design_scores_gemma":[0.0004540272,0.00009594268,0.0004502417,0.00005869695,0.0000105046,0.00003042576,0.0001177512,0.9773321,0.01870631,0.00007603916,0.002495072,0.0001728826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636444,0.0003130545,0.02667402,0.00005177931,0.0003927789,0.0001277805,0.000008504807,0.0003300679,0.008457649],"genre_scores_gemma":[0.9992632,0.00004318596,0.0001010068,0.00002534915,0.0001179848,0.00001940917,0.00002974866,0.0000518147,0.0003482946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03561884,"threshold_uncertainty_score":0.3943288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003942556476492597,"score_gpt":0.1664971846650572,"score_spread":0.1625546281885646,"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."}}