{"id":"W2625207554","doi":"10.1061/9780784480823.007","title":"BIM to Facilities Management: Presenting a Proven Workflow for Information Exchange","year":2017,"lang":"en","type":"article","venue":"","topic":"BIM and Construction Integration","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Merck Canada Inc. (Canada)","funders":"","keywords":"Workflow; Asset management; Deliverable; Computer science; Asset (computer security); Process management; Building information modeling; Leverage (statistics); Knowledge management; Information system; Data exchange; Information exchange; Engineering management; Systems engineering; Business; Database; Operations management; Scheduling (production processes); Engineering; Computer security; Finance","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":[0.02052744,0.001469457,0.000833388,0.004394115,0.003520567,0.01146367,0.004004066,0.002690187,0.008773961],"category_scores_gemma":[0.03760266,0.001382096,0.001587722,0.004965714,0.003425954,0.01250236,0.0108051,0.003732059,0.006466779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002749977,"about_ca_system_score_gemma":0.008017597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006310138,"about_ca_topic_score_gemma":0.004564125,"domain_scores_codex":[0.9815393,0.009997243,0.001578529,0.001500168,0.004560876,0.0008238074],"domain_scores_gemma":[0.9759269,0.007736865,0.001207706,0.01023998,0.004000118,0.0008884342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002143559,0.0005690511,0.003575921,0.0006752138,0.0001003172,0.0007242415,0.01471586,0.01772266,0.006479907,0.3101521,0.0246556,0.6204147],"study_design_scores_gemma":[0.0001363501,0.0003331823,0.002503292,0.001594191,0.00009751668,0.001098595,0.006914629,0.08819672,0.02036954,0.3382987,0.5400886,0.0003687457],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005328674,0.0001616826,0.9665981,0.002447393,0.0001412564,0.0004589475,0.0003694967,0.004297112,0.02019735],"genre_scores_gemma":[0.0610508,0.0003463831,0.9311156,0.0004255448,0.00008180254,0.0004500403,0.000977893,0.0007522618,0.004799796],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02052744,"threshold_uncertainty_score":0.1085607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451044949704848,"score_gpt":0.2226889684786089,"score_spread":0.2081785189815605,"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."}}