{"id":"W4293069330","doi":"10.1007/978-981-19-1029-6_17","title":"Towards Construction’s Digital Future: A Roadmap for Enhancing Data Value","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Big data; Raw data; Computer science; Data science; Bridging (networking); Digital data; Process management; Knowledge management; Engineering; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001349898,0.0005510728,0.0004867752,0.0004026635,0.00007898911,0.0001345962,0.0004641646,0.0004772379,0.0005972087],"category_scores_gemma":[0.0001157378,0.000627144,0.0001583481,0.0001249369,0.00003248182,0.0003809383,0.0001441303,0.001062708,0.000008325784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004400116,"about_ca_system_score_gemma":0.00009605123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000089182,"about_ca_topic_score_gemma":0.0004437699,"domain_scores_codex":[0.998256,0.000004514325,0.0005314893,0.0005466867,0.0002925546,0.0003687622],"domain_scores_gemma":[0.9989291,0.0001619675,0.00008009127,0.0007026691,0.00004691267,0.00007921903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001969231,0.000007510494,0.00001148272,0.0006584411,0.0002998291,0.0000172302,0.0002528101,0.6337829,0.0004199689,0.09311809,0.0004961433,0.2709159],"study_design_scores_gemma":[0.0005297651,0.00005192909,0.000007661658,0.0003491589,0.0001044567,0.0002336709,0.00002123564,0.2265231,0.0007149362,0.01369611,0.7565129,0.001255094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00003356222,0.004533113,0.9443606,0.0001496807,0.007771233,0.0005880126,0.0009899329,0.0008525137,0.04072138],"genre_scores_gemma":[0.8400727,0.00337568,0.1085873,0.0004065118,0.02452422,0.00115863,0.0132202,0.002667102,0.005987628],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8400391,"threshold_uncertainty_score":0.999618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01031626877008221,"score_gpt":0.2035371152508214,"score_spread":0.1932208464807392,"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."}}