{"id":"W1957508919","doi":"10.1139/cjce-2014-0078","title":"A conceptual approach to track design changes within a multi-disciplinary building information modeling environment","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"SNC-Lavalin (Canada); University of British Columbia","funders":"","keywords":"Track (disk drive); Computer science; Discipline; Civil engineering; Architectural engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003058475,0.0001409168,0.0001566795,0.0004306422,0.00004214332,0.00006827857,0.000128082,0.00007846062,0.00001086481],"category_scores_gemma":[0.000048775,0.0001455984,0.00003734803,0.0001403936,0.00001562989,0.0004907641,0.000006255484,0.000232947,0.000007311791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003752116,"about_ca_system_score_gemma":0.0001720295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007127877,"about_ca_topic_score_gemma":0.00126847,"domain_scores_codex":[0.9992247,0.00001174089,0.000322431,0.00006128303,0.000154021,0.0002258166],"domain_scores_gemma":[0.9991663,0.000009459388,0.00005059179,0.0000822652,0.00007465149,0.0006167041],"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":[0.000003837253,0.00000202974,0.00001101446,0.00001232295,0.00002077139,0.000003334202,0.005520941,0.9924231,0.0004514363,0.0005766526,0.0002266869,0.0007478363],"study_design_scores_gemma":[0.0003122163,0.0000522121,0.00001761959,0.00007270718,0.00001372307,0.0001511562,0.001958993,0.9948131,0.0004286307,0.00003472098,0.001975398,0.0001695502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02720858,0.0004501868,0.9711469,0.00004118822,0.0006304681,0.0001188429,0.000005214362,0.0000419509,0.000356687],"genre_scores_gemma":[0.9441779,0.000006002237,0.05560983,0.00002244027,0.0001430504,0.00001148818,0.000002514936,0.00002024561,0.000006505253],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9169694,"threshold_uncertainty_score":0.593733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04122999055739158,"score_gpt":0.1991129006246848,"score_spread":0.1578829100672933,"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."}}