{"id":"W4402131202","doi":"10.3390/buildings14092738","title":"A Hybrid Decision Support System for Partition Walls","year":2024,"lang":"en","type":"article","venue":"Buildings","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Partition (number theory); Decision support system; Computer science; Systems engineering; Materials science; Engineering; Artificial intelligence; Mathematics; Combinatorics","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":[0.002732566,0.0008853665,0.0008431664,0.001590512,0.0007347262,0.003483413,0.001795366,0.001278641,0.0111904],"category_scores_gemma":[0.006721846,0.0004049165,0.0008320013,0.001072249,0.0004461358,0.002149549,0.002156661,0.000899869,0.002633479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007105583,"about_ca_system_score_gemma":0.001515734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00227512,"about_ca_topic_score_gemma":0.002111096,"domain_scores_codex":[0.998603,0.0004020054,0.0002159681,0.0002781324,0.0004188577,0.00008195449],"domain_scores_gemma":[0.9968766,0.001833128,0.0002276712,0.0003341209,0.0005612119,0.0001672309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002125351,0.0008588976,0.007567722,0.0007156876,0.0003406542,0.001277361,0.0012031,0.2914743,0.01992393,0.04625302,0.02236498,0.605895],"study_design_scores_gemma":[0.0001562431,0.0001774967,0.0006443692,0.00007916513,0.00007293325,0.0001720477,0.0001804787,0.9581871,0.005695964,0.01250027,0.02207303,0.00006089997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03483615,0.0001645495,0.9357918,0.0004709638,0.0001162414,0.0005483811,0.001676254,0.01839593,0.007999751],"genre_scores_gemma":[0.3268559,0.0002067526,0.6638998,0.0002565942,0.00006565569,0.0008369415,0.002571419,0.0002925667,0.005014302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0111904,"threshold_uncertainty_score":0.03743565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00806408844176938,"score_gpt":0.2227480292048036,"score_spread":0.2146839407630342,"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."}}