{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005968148,0.00084758,0.0005942038,0.002600495,0.001695174,0.01668273,0.001957494,0.004579888,0.01903962],"category_scores_gemma":[0.006634208,0.0004750376,0.0006447334,0.006251942,0.008249823,0.03205423,0.007644506,0.004573361,0.003696962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006697151,"about_ca_system_score_gemma":0.009401148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005978624,"about_ca_topic_score_gemma":0.006085584,"domain_scores_codex":[0.9974252,0.0008472293,0.00009776984,0.000169538,0.001188415,0.0002718654],"domain_scores_gemma":[0.9950166,0.00225398,0.0001786511,0.0007528316,0.001117662,0.0006802168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001664322,0.00002613367,0.0002312685,0.0002703568,0.000008602023,0.00004519085,0.0008740423,0.0006811265,0.0003559461,0.8565485,0.04968051,0.0912616],"study_design_scores_gemma":[0.000003735571,0.000008956155,0.0002152107,0.0003001264,0.000004997503,0.0001054867,0.001022677,0.0009267204,0.000317867,0.2564387,0.7406433,0.00001222085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01061005,0.08370915,0.1379043,0.2284286,0.005127813,0.00009124657,0.0006641999,0.001161977,0.5323026],"genre_scores_gemma":[0.3819213,0.1732324,0.2673073,0.02505812,0.004124997,0.0002602833,0.002553736,0.001253862,0.144288],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01903962,"threshold_uncertainty_score":0.06369388,"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."}}