{"id":"W4323844893","doi":"10.3390/buildings13030727","title":"Machine Learning Method Based on Symbiotic Organism Search Algorithm for Thermal Load Prediction in Buildings","year":2023,"lang":"en","type":"article","venue":"Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Harmony search; Artificial neural network; Computer science; Metaheuristic; Machine learning; Artificial intelligence; Benchmark (surveying); Algorithm; Mathematical optimization; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000529094,0.00058817,0.0006097014,0.0005153138,0.0002737011,0.000487803,0.0006808395,0.0006375083,0.001093804],"category_scores_gemma":[0.0011593,0.0001982243,0.0005439197,0.0004757459,0.0002555365,0.0004642892,0.0004369083,0.0005619965,0.0002036288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003824106,"about_ca_system_score_gemma":0.0006743396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004024209,"about_ca_topic_score_gemma":0.002742739,"domain_scores_codex":[0.9998243,0.0000597544,0.00001185795,0.00003879892,0.00004647211,0.00001879859],"domain_scores_gemma":[0.999747,0.0001434157,0.00002338871,0.00001420996,0.00006225557,0.000009847555],"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":[0.00003572271,0.00003095384,0.0009711691,0.00004327678,0.00003953812,0.00003687742,0.00002772127,0.9364322,0.00127129,0.002618066,0.0003469972,0.05814629],"study_design_scores_gemma":[0.000001108581,0.00000748304,0.00004554874,0.000001304928,0.000001455344,0.000002773299,0.000001569618,0.999576,0.00009055113,0.0002023488,0.00006884006,9.40862e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03753029,0.0005127444,0.9586654,0.000126374,0.00004930364,0.00003552048,0.00002872139,0.0003877643,0.002663908],"genre_scores_gemma":[0.7813099,0.0004274805,0.2154051,0.00008840887,0.00004304486,0.0001831979,0.0001192103,0.00005169335,0.002371932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004024209,"threshold_uncertainty_score":0.008001566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077479746634433,"score_gpt":0.2381627653481795,"score_spread":0.2273879678818352,"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."}}