{"id":"W4234932386","doi":"10.26868/25222708.2019.210714","title":"Towards Development and Validation of a Simplified Infiltration Model for Commercial Buildings","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Natural Resources Canada","keywords":"Infiltration (HVAC); Computer science; Development (topology); Model validation; Systems engineering; Engineering; Data science; Meteorology; Mathematics; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009509605,0.0006405083,0.0007749533,0.0004480202,0.0004624801,0.001076969,0.001598047,0.0008951306,0.00192739],"category_scores_gemma":[0.001671424,0.000490455,0.0008971294,0.0005665252,0.0003274544,0.000719499,0.0006818274,0.0007832763,0.0007171226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000979963,"about_ca_system_score_gemma":0.001375905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01898451,"about_ca_topic_score_gemma":0.01089943,"domain_scores_codex":[0.9995604,0.000137707,0.00003262816,0.00004286855,0.0001749645,0.00005148162],"domain_scores_gemma":[0.9993415,0.000196169,0.00005376676,0.000117815,0.0002597449,0.00003099481],"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":[0.00004783568,0.00006904997,0.001291716,0.00005652531,0.00001271547,0.00005975772,0.00004729826,0.9784433,0.007916147,0.001475363,0.0004384197,0.01014192],"study_design_scores_gemma":[0.00001001626,0.00002861079,0.0003703725,0.000005672692,0.000005126649,0.00001024431,0.00001194139,0.9961761,0.001893064,0.0001873187,0.001295106,0.000006376762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3549418,0.000320783,0.6195377,0.0002980802,0.00009160661,0.0004821238,0.001726362,0.004034654,0.01856694],"genre_scores_gemma":[0.8686007,0.0002834624,0.1241679,0.00005556838,0.00001560614,0.0003690155,0.001755123,0.0003702478,0.004382378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01898451,"threshold_uncertainty_score":0.03774804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05723827929315511,"score_gpt":0.2679253764895,"score_spread":0.2106870971963449,"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."}}