{"id":"W4386331355","doi":"10.26226/m.6464eac42998a600134dd9e9","title":"A Case Study on the City of Calgary Rangeview Sanitary Trunk Pipeline Project","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Environmental planning; Civil engineering; Geography; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004780318,0.0004498404,0.0002976036,0.001229477,0.006850408,0.001805557,0.001411339,0.002089476,0.004561649],"category_scores_gemma":[0.001306173,0.0003681001,0.0002501601,0.003900475,0.002194879,0.0006778516,0.002000124,0.000841068,0.0003842847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005437604,"about_ca_system_score_gemma":0.004300845,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3844353,"about_ca_topic_score_gemma":0.7196943,"domain_scores_codex":[0.999272,0.0002433123,0.00001524564,0.00007465523,0.0001880104,0.0002067197],"domain_scores_gemma":[0.9993037,0.0002712948,0.00007165071,0.00005339417,0.000168204,0.0001317969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0009406589,0.002624529,0.2718474,0.001110572,0.0002041183,0.2770433,0.1816733,0.04681136,0.01514944,0.02393752,0.01941283,0.1592451],"study_design_scores_gemma":[0.0001180521,0.000752429,0.3031139,0.0003605564,0.0001064529,0.01009128,0.5867555,0.0131288,0.004389296,0.002439954,0.07863937,0.000104428],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784137,0.0001080899,0.001005663,0.00031384,0.000009516825,0.0001301841,0.0002428975,0.00001402146,0.01976198],"genre_scores_gemma":[0.9841876,0.0003466947,0.002144185,0.00007239557,0.000006185466,0.00003588294,0.0002243685,0.00001610938,0.01296655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6155647,"threshold_uncertainty_score":0.7643954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06892106387268712,"score_gpt":0.2812031127562195,"score_spread":0.2122820488835324,"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."}}