{"id":"W4401054140","doi":"10.1061/jcemd4.coeng-14764","title":"Ontology-Based Design Features for Representing Constructability in Architectural Design: Toward BIM in Off-Site Construction","year":2024,"lang":"en","type":"article","venue":"Journal of Construction Engineering and Management","topic":"BIM and Construction Integration","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Constructability; Ontology; Construction engineering; Building information modeling; Engineering; Computer science; Architectural engineering; Systems 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006782604,0.0006895619,0.0003938877,0.004383508,0.001930881,0.005190452,0.001538094,0.001390749,0.001117225],"category_scores_gemma":[0.01005245,0.0005538352,0.001193383,0.004141854,0.00560453,0.007827424,0.003016641,0.001771637,0.000235898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00351383,"about_ca_system_score_gemma":0.005262796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007810093,"about_ca_topic_score_gemma":0.0125686,"domain_scores_codex":[0.9945911,0.002949007,0.0003711558,0.0003711742,0.001448446,0.0002691282],"domain_scores_gemma":[0.9951726,0.001990221,0.0007544136,0.001026462,0.0009078573,0.0001484707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008353551,0.0002676776,0.01015674,0.0004220774,0.00005982821,0.0006510385,0.04470536,0.01539788,0.008460226,0.7573966,0.002137267,0.1602617],"study_design_scores_gemma":[0.0000639766,0.0002636732,0.01771055,0.001175164,0.0003187553,0.001931575,0.07472277,0.1427403,0.01488222,0.4996164,0.2463534,0.0002212522],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08934069,0.0002882705,0.8803248,0.001387804,0.00004400362,0.0004718486,0.0002191662,0.0001850591,0.02773841],"genre_scores_gemma":[0.4291413,0.0002999188,0.5674175,0.0001228593,0.00001223816,0.0005669352,0.000277102,0.00006842853,0.002093724],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007810093,"threshold_uncertainty_score":0.03587025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321334605247728,"score_gpt":0.2244965017926252,"score_spread":0.2112831557401479,"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."}}