{"id":"W4291033271","doi":"10.1016/j.jobe.2022.105095","title":"Energy and economic assessment of a hybrid solar/gas heating system using a combined statistical-based multi-objective optimization method","year":2022,"lang":"en","type":"article","venue":"Journal of Building Engineering","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Process engineering; Multi-objective optimization; Computer science; Mathematical optimization; Solar energy; Genetic algorithm; Environmental science; Engineering; Mathematics","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":[0.0009315422,0.0001452755,0.0004301774,0.0002613638,0.0001155474,0.00003245879,0.0001122394,0.00002469556,0.00002126854],"category_scores_gemma":[0.00005314266,0.000149521,0.00008562363,0.0001054729,0.000009131842,0.0001029072,0.00005870877,0.0001804778,2.483414e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006598472,"about_ca_system_score_gemma":0.0001300454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001447694,"about_ca_topic_score_gemma":0.000005474666,"domain_scores_codex":[0.9986598,0.0001970225,0.0006241754,0.0001361234,0.0002096569,0.0001732174],"domain_scores_gemma":[0.9987844,0.0003585263,0.000607426,0.00009901376,0.00007046732,0.00008018933],"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":[0.00003724286,0.00002628074,0.0004874879,0.0001177264,0.000128657,0.00002991111,0.00007050338,0.9440931,0.05289037,0.001682931,0.000001912036,0.0004338587],"study_design_scores_gemma":[0.001042434,0.0001697284,0.00009268359,0.0001914516,0.00006540288,0.0003623004,0.0002584186,0.9820619,0.01555122,0.00001486681,0.00005434639,0.000135222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2486798,0.00009937421,0.7507257,0.000003855439,0.0003805368,0.00005446676,0.00001844134,0.00002146022,0.00001630435],"genre_scores_gemma":[0.6834148,0.000001552756,0.3164774,0.000005505044,0.00006262701,0.000006242661,0.000002608886,0.00002744821,0.000001788891],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.434735,"threshold_uncertainty_score":0.6097289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427995917221373,"score_gpt":0.2666992955330869,"score_spread":0.2524193363608732,"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."}}