{"id":"W4280619952","doi":"10.48550/arxiv.2205.07636","title":"A review of ontologies for smart and continuous commissioning","year":2022,"lang":"en","type":"review","venue":"arXiv (Cornell University)","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Ontology; Identification (biology); Key (lock); Data science; Domain (mathematical analysis); Readability","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":[0.003631519,0.001273321,0.001494694,0.009994425,0.0007713134,0.002730563,0.001741032,0.001780683,0.004967083],"category_scores_gemma":[0.006789913,0.0007293299,0.001166172,0.01391043,0.001677508,0.006174382,0.001812858,0.002122575,0.002112365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002763057,"about_ca_system_score_gemma":0.007132439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006460437,"about_ca_topic_score_gemma":0.007079254,"domain_scores_codex":[0.9976857,0.0005161403,0.0005042697,0.0002767168,0.0009124982,0.0001047142],"domain_scores_gemma":[0.9953557,0.002813489,0.0004654104,0.0001881866,0.00107731,0.0001000296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002887868,0.00005468709,0.0002506439,0.03851844,0.0001023842,0.0001342932,0.00043579,0.0007749377,0.0007363369,0.04969728,0.04293421,0.8663321],"study_design_scores_gemma":[0.000003080989,0.00001536511,0.0004221914,0.01267976,0.00007220075,0.000275104,0.0001639677,0.0001296262,0.0002828246,0.005863879,0.9800751,0.00001695433],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001738272,0.9919404,0.001820729,0.001047482,0.0004134693,0.00001691138,0.00008422599,0.00002357723,0.004479319],"genre_scores_gemma":[0.001662524,0.9945151,0.002402193,0.000407566,0.0001777728,0.000023157,0.0001353752,0.0000121349,0.0006643102],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009994425,"threshold_uncertainty_score":0.02004755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042801902686954,"score_gpt":0.2152620113734783,"score_spread":0.1109818211047829,"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."}}