{"id":"W4392628705","doi":"10.26868/25222708.2023.1575","title":"Systematic review of the use of artificial intelligence methods in hospital energy prediction","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Artificial neural network; Artificial intelligence; Energy consumption; Dominance (genetics); Machine learning; Engineering","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":[0.0004317752,0.0001163315,0.0002955436,0.0001869624,0.00003285314,0.0000256571,0.0001775533,0.0000824181,0.000008386777],"category_scores_gemma":[0.0006921622,0.00009723174,0.00006795445,0.00116158,0.00003479614,0.0002938845,0.00004441719,0.00008908075,2.842883e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003759496,"about_ca_system_score_gemma":0.00002039099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001184348,"about_ca_topic_score_gemma":0.000001467945,"domain_scores_codex":[0.998796,0.00002896578,0.0007002781,0.0001382975,0.0002063899,0.0001301028],"domain_scores_gemma":[0.9991981,0.0001882436,0.0002202837,0.0001243608,0.0002487808,0.00002016671],"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":[0.000002214646,0.00001293952,0.0002004507,0.03016528,0.00001701831,5.031169e-8,0.0002098548,0.944799,0.001560262,0.02182184,0.00002616527,0.001184904],"study_design_scores_gemma":[0.00002106149,0.00001578541,0.0001286743,0.03274173,0.00003639863,3.727737e-7,0.00004121028,0.9557426,0.009168125,0.002003801,0.0000166729,0.00008359191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06556012,0.000524679,0.9323813,0.00008878639,0.0004515701,0.0005785394,0.000008202439,0.0003125326,0.0000942473],"genre_scores_gemma":[0.9897506,0.0008385503,0.009290418,0.0000143405,0.00001664329,0.00005016874,0.000005117663,0.00001691385,0.00001721696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9241905,"threshold_uncertainty_score":0.3964995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05176210238223242,"score_gpt":0.3047191693004371,"score_spread":0.2529570669182046,"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."}}