{"id":"W4313715560","doi":"10.1016/j.jclepro.2023.135968","title":"An integrated decision support method for strategic planning and tactical management of regional biomass power plants under uncertainties","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Environmental economics; Context (archaeology); Biomass (ecology); Electricity generation; Energy security; Incentive; Investment (military); Environmental science; Renewable energy; Environmental resource management; Engineering; Power (physics); Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006021364,0.00009768218,0.0001536263,0.0003327388,0.00003724287,0.00003036094,0.00007416738,0.00004842474,0.00001658271],"category_scores_gemma":[0.00001094957,0.00007970985,0.00004211832,0.0002014917,0.00002852319,0.000222825,0.00001333414,0.00007044296,0.000001310843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000399666,"about_ca_system_score_gemma":0.00001173474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001633091,"about_ca_topic_score_gemma":0.000002570477,"domain_scores_codex":[0.9991407,0.00002628833,0.0003520969,0.0001221504,0.0002329282,0.0001258012],"domain_scores_gemma":[0.9995835,0.00003123577,0.0001174077,0.0001012744,0.0001121129,0.00005440376],"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":[0.001705208,0.000257024,0.0009556367,0.001077333,0.001062097,0.0001002111,0.001302124,0.8006116,0.023143,0.01455886,0.0538277,0.1013993],"study_design_scores_gemma":[0.007735695,0.004235516,0.08296596,0.00193858,0.0008013963,0.00113754,0.09813841,0.5232938,0.05312408,0.05239302,0.1726359,0.001600117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7529798,0.00009344151,0.2447429,0.0003847721,0.001142701,0.0002482384,0.000005749371,0.00009329049,0.000309103],"genre_scores_gemma":[0.9797395,0.0001351321,0.01982343,0.00001536459,0.00007655509,0.000003618516,0.0000262967,0.00002013162,0.000159944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2773178,"threshold_uncertainty_score":0.3250473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05076871558310629,"score_gpt":0.3326133509674706,"score_spread":0.2818446353843643,"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."}}