{"id":"W4399043571","doi":"10.22260/isarc2024/0174","title":"Analysis of openBIM Adoptions and Implementations: Global Perspectives and Canadian Industry Adoption","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Implementation; Computer science; Telecommunications; Data science; Business; Software engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006283745,0.00005739417,0.0000837819,0.0001743081,0.00005208793,0.00005205637,0.00005107295,0.00005997278,0.00004759775],"category_scores_gemma":[0.00001245518,0.00004741086,0.00003717421,0.0006757117,0.00007233016,0.0001889123,0.00001539597,0.00009677249,3.244665e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007856124,"about_ca_system_score_gemma":0.00002755259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003117723,"about_ca_topic_score_gemma":0.004743353,"domain_scores_codex":[0.9996483,0.00000169541,0.0001228111,0.00008767532,0.0000689308,0.00007056658],"domain_scores_gemma":[0.9998127,0.000007265875,0.00002210848,0.00003002855,0.00008785223,0.00004009548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000007662313,0.00001522114,0.3630475,0.0003414602,0.001651293,2.109194e-7,0.007383943,0.0005381583,0.007623225,0.5815969,0.001903509,0.03589102],"study_design_scores_gemma":[0.0002676502,0.00005059516,0.8632129,0.0002458903,0.00193554,0.00003748028,0.08139124,0.04086606,0.002369988,0.006846995,0.002471814,0.0003038399],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917466,0.0009917249,0.00006108592,0.0003933062,0.00007690088,0.00009193907,0.0001072409,0.00003126846,0.006499915],"genre_scores_gemma":[0.9994806,0.0001297254,0.0003142758,0.000007097202,0.00001844104,0.000009082631,0.000002518634,0.00000403101,0.00003423354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5747499,"threshold_uncertainty_score":0.4713085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009728157840064202,"score_gpt":0.2455020530618391,"score_spread":0.2357738952217749,"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."}}