{"id":"W3032194532","doi":"10.1007/978-3-030-41560-0_6","title":"CPS-Based Approach to Improve Management of Heavy Construction Projects","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Control reconfiguration; Cyber-physical system; Software deployment; Systems engineering; Computer science; Monitoring and control; Control (management); Computation; Engineering; Control engineering; Distributed computing; Embedded system; Software engineering; Operating system","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":[0.0003768882,0.0005754514,0.0003109984,0.0009287551,0.0003454333,0.001502253,0.0007960618,0.0004888626,0.009551078],"category_scores_gemma":[0.0007350041,0.0001968683,0.0005257582,0.001543112,0.0002495369,0.001149605,0.001021901,0.0006678129,0.002003067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007721264,"about_ca_system_score_gemma":0.001053667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005261137,"about_ca_topic_score_gemma":0.006586892,"domain_scores_codex":[0.9997174,0.00004576498,0.00001699609,0.00005575876,0.0001378544,0.00002612185],"domain_scores_gemma":[0.999787,0.00005622986,0.00002416422,0.00003082773,0.00008551466,0.00001619906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008006293,0.0001575236,0.00150704,0.0004007274,0.00006089176,0.0002692714,0.0001473307,0.1240773,0.01102062,0.1563521,0.03793128,0.6679959],"study_design_scores_gemma":[0.00001656788,0.0001039322,0.003034704,0.0001584898,0.00008115589,0.0003278414,0.0003538431,0.6028971,0.0116226,0.1023067,0.2790574,0.00003966751],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005390552,0.0007416033,0.9248766,0.0004654868,0.0003891117,0.00009341914,0.0005095133,0.001962423,0.06557121],"genre_scores_gemma":[0.2448545,0.002938772,0.6723768,0.0003438555,0.0002121964,0.0002415417,0.001995738,0.0003631546,0.07667346],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009551078,"threshold_uncertainty_score":0.03195155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004520027370206,"score_gpt":0.229251288902223,"score_spread":0.2092060886285209,"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."}}