{"id":"W2953811449","doi":"10.29173/mocs131","title":"A Survey on Information Flow Tools in Alberta’s Construction Industry","year":2019,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Digitization; Information flow; Supply chain; Schedule; Information exchange; Key (lock); Phone; Quality (philosophy); Construction industry; Business; Dissemination; Computer science; Process management; Knowledge management; Marketing; Engineering; Construction engineering; Telecommunications; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002614986,0.0003214345,0.0003283784,0.0005324516,0.0001067772,0.0002917119,0.0001065679,0.0005576028,0.0001941726],"category_scores_gemma":[0.00007925887,0.0003400113,0.00006631636,0.0005792935,0.0001319773,0.002099724,0.0000266453,0.0007207659,0.0001405764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001626906,"about_ca_system_score_gemma":0.0000382584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002686995,"about_ca_topic_score_gemma":0.0002465967,"domain_scores_codex":[0.9984916,0.00002224925,0.0005561891,0.0003231528,0.0002815887,0.0003251689],"domain_scores_gemma":[0.9993297,0.00005058941,0.0001283961,0.0001462076,0.000224434,0.0001205985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001505517,0.00002380795,0.5236102,0.0002076874,0.00007395165,9.039421e-7,0.0005408181,0.003151402,0.001074676,0.01725281,0.001028723,0.4528845],"study_design_scores_gemma":[0.005783984,0.000382664,0.6883906,0.0007553021,0.00008626484,0.0003295013,0.004902557,0.2194306,0.0126452,0.002353441,0.06266996,0.002269947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874496,0.00005243424,0.0007317375,0.00009894729,0.001500721,0.0004488801,0.00004871936,0.0002127058,0.009456219],"genre_scores_gemma":[0.9980561,0.0000781601,0.001279403,0.00009958567,0.0001040559,0.00003727722,0.0001336607,0.00002715094,0.0001846075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4506145,"threshold_uncertainty_score":0.9999052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009220101536522788,"score_gpt":0.1923437981250338,"score_spread":0.183123696588511,"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."}}