{"id":"W3047906975","doi":"10.1061/9780784483190.040","title":"Vista Ridge Land Acquisition: A P3 Success Story and a Case Study in Schedule Compression for a Long, Linear Water Pipeline Project","year":2020,"lang":"en","type":"article","venue":"Pipelines 2020","topic":"Marine and Offshore Engineering Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dawson College","funders":"","keywords":"Schedule; Pipeline (software); Process (computing); Computer science; Work (physics); Operations research; Engineering; Mechanical engineering","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":[0.002478132,0.0004184369,0.0002214345,0.0008005488,0.006476246,0.002513181,0.001093156,0.002345587,0.00223667],"category_scores_gemma":[0.004728138,0.0002836201,0.0002653735,0.001173338,0.001878426,0.001399605,0.00171759,0.001973957,0.0004385116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003861237,"about_ca_system_score_gemma":0.004739395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03522983,"about_ca_topic_score_gemma":0.08087019,"domain_scores_codex":[0.9984034,0.0005787425,0.00005261375,0.0001175169,0.0004646882,0.0003831289],"domain_scores_gemma":[0.9962901,0.00156295,0.0003667679,0.000145118,0.0005501938,0.001084809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.001005224,0.007083821,0.1361112,0.0007252106,0.0001089824,0.1589192,0.2119669,0.03768679,0.02861229,0.06013835,0.03670434,0.3209378],"study_design_scores_gemma":[0.000214771,0.009708115,0.1420965,0.0004284632,0.00007024246,0.02801768,0.5790709,0.04355907,0.0171429,0.009795122,0.1696484,0.0002478521],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753909,0.00009555657,0.002919602,0.002810287,0.00001302188,0.0001852665,0.00006374753,0.00007556596,0.01844612],"genre_scores_gemma":[0.9859414,0.0002453028,0.004421765,0.0002392596,0.00001542932,0.00009054194,0.00006440506,0.00006035496,0.008921557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03522983,"threshold_uncertainty_score":0.07004952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248517929186231,"score_gpt":0.2737070906952194,"score_spread":0.2512219114033571,"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."}}