{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004794275,0.0003567395,0.000336874,0.00810768,0.001859472,0.003033787,0.001034995,0.0008255128,0.002850469],"category_scores_gemma":[0.007249045,0.000376083,0.0003171696,0.01403383,0.001237244,0.001536477,0.001381052,0.0006540206,0.0005611008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009120474,"about_ca_system_score_gemma":0.01578042,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4110869,"about_ca_topic_score_gemma":0.5477083,"domain_scores_codex":[0.9933294,0.0007096936,0.0004672728,0.0002718203,0.004275622,0.0009462473],"domain_scores_gemma":[0.9857684,0.005125885,0.001982377,0.0004076142,0.005350551,0.001365257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001804398,0.0003100257,0.5401444,0.00175094,0.00005370731,0.001254709,0.1021816,0.000473043,0.008338629,0.003082427,0.01018504,0.332045],"study_design_scores_gemma":[0.000005696632,0.0002052318,0.767144,0.0009177859,0.00003328082,0.0005678451,0.1155981,0.0003492755,0.00102402,0.0001923423,0.1139058,0.00005659013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625148,0.004092408,0.00150634,0.001091527,0.00004968659,0.0001779274,0.00125159,0.00007716333,0.02923854],"genre_scores_gemma":[0.9593108,0.01384398,0.004898801,0.000603881,0.0000281718,0.000135808,0.002494904,0.00005061097,0.018633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5889131,"threshold_uncertainty_score":0.8173882,"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."}}