{"id":"W4243031019","doi":"10.26868/25222708.2019.210271","title":"Building Performance Optimization for Operational Rule Extraction","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"BIM and Construction Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Concordia University; Carleton University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Extraction (chemistry); Chromatography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001444953,0.001203722,0.001095488,0.001362034,0.0004658552,0.001186854,0.0008363844,0.0007357884,0.002345251],"category_scores_gemma":[0.006214032,0.0005159259,0.001157232,0.001407772,0.0004186656,0.0007616248,0.0004851098,0.001054679,0.0004509932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071801,"about_ca_system_score_gemma":0.001844181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01281531,"about_ca_topic_score_gemma":0.01003368,"domain_scores_codex":[0.9991217,0.0003318506,0.00005754997,0.000121794,0.0002654208,0.000101796],"domain_scores_gemma":[0.9975339,0.001911286,0.0001292001,0.0000889302,0.0003068163,0.00002985438],"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":[0.0000292852,0.0000536079,0.0006840315,0.00006465595,0.00002543381,0.0000527117,0.0000308557,0.9559396,0.00109304,0.001629925,0.0003302417,0.04006657],"study_design_scores_gemma":[0.000004890585,0.00001919938,0.0001946754,0.00001159468,0.00001228752,0.000010543,0.00001470195,0.997503,0.0008082498,0.001145217,0.0002715285,0.000004139766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06682,0.0002794797,0.9251717,0.0001358486,0.00002076414,0.0002323181,0.0005086823,0.0006511819,0.006179931],"genre_scores_gemma":[0.6542307,0.0002443671,0.3427698,0.00005337586,0.00001788688,0.0003649802,0.001116155,0.00007873245,0.001124007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01281531,"threshold_uncertainty_score":0.0254814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02766294329147446,"score_gpt":0.2650512346132826,"score_spread":0.2373882913218081,"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."}}