{"id":"W3048261127","doi":"10.1061/9780784483190.022","title":"Kennedy Newton Main and the Challenges of Design and Construction of Large Diameter Watermains in Urban Areas","year":2020,"lang":"en","type":"article","venue":"Pipelines 2020","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Burnaby Hospital","funders":"","keywords":"Computer science; Architectural engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002110384,0.0003749448,0.0001603191,0.0003922794,0.004126699,0.003455091,0.001052913,0.001216781,0.002624889],"category_scores_gemma":[0.002662216,0.0004970339,0.0001545488,0.0005030265,0.002863201,0.00107477,0.001608287,0.0008653698,0.0005957814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006759646,"about_ca_system_score_gemma":0.01145886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1454033,"about_ca_topic_score_gemma":0.5077749,"domain_scores_codex":[0.9978071,0.0007580522,0.00006163053,0.0001783342,0.000800268,0.0003946027],"domain_scores_gemma":[0.9981616,0.0004352322,0.0001253833,0.0001513527,0.0006189712,0.000507463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001898118,0.0004127037,0.05398665,0.001189089,0.00006368606,0.00760401,0.04161171,0.1423041,0.04575858,0.1423732,0.06350674,0.5009997],"study_design_scores_gemma":[0.00003596468,0.0004776591,0.03957464,0.000467621,0.00003931476,0.002293929,0.10862,0.03274022,0.0113543,0.02472441,0.7795677,0.0001043051],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.679679,0.001551206,0.08933069,0.01586221,0.0001641996,0.000543216,0.0001551709,0.0005079028,0.2122063],"genre_scores_gemma":[0.9147453,0.0008795189,0.05120208,0.0003012518,0.0000135493,0.0001193956,0.00006113762,0.0001164092,0.03256125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1454033,"threshold_uncertainty_score":0.2891139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113679592525986,"score_gpt":0.1946447778012499,"score_spread":0.18350798187599,"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."}}