{"id":"W4288433994","doi":"10.1061/9780784484296.019","title":"Montebello Filtration Plant Infrastructure Improvements","year":2022,"lang":"en","type":"article","venue":"Pipelines 2022","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Precast concrete; Mortar; Water pipe; Engineering; Civil engineering; Archaeology; Mechanical engineering; History","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":[0.0009739562,0.0009796796,0.0002534858,0.001595869,0.003430543,0.002690362,0.001639961,0.00124253,0.07993429],"category_scores_gemma":[0.001908978,0.0003808992,0.0005559946,0.001331808,0.0005184969,0.001625965,0.001858415,0.001910419,0.008535715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008506749,"about_ca_system_score_gemma":0.008798782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1372315,"about_ca_topic_score_gemma":0.2528182,"domain_scores_codex":[0.9985298,0.0001087101,0.00002540217,0.0002233146,0.0006492981,0.0004634252],"domain_scores_gemma":[0.9988592,0.00005798311,0.00007216803,0.0001041241,0.0006120434,0.0002945701],"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":[0.0004461126,0.0009233822,0.02138668,0.0005969973,0.00003851912,0.001913415,0.001052811,0.007470614,0.01548984,0.03197878,0.4334054,0.4852974],"study_design_scores_gemma":[0.00004247532,0.0001908183,0.02600431,0.0001030396,0.00001632224,0.0003670049,0.0004382597,0.001825586,0.002476627,0.0007269162,0.9677721,0.00003652227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.112391,0.003174203,0.03642512,0.01275971,0.002945922,0.0007700929,0.002953684,0.00781823,0.8207619],"genre_scores_gemma":[0.4550709,0.002472383,0.03135411,0.003239584,0.0008084098,0.0003271864,0.005023872,0.0007168393,0.5009868],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1372315,"threshold_uncertainty_score":0.2728655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004821990866906446,"score_gpt":0.1837221377605947,"score_spread":0.1789001468936882,"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."}}