{"id":"W2999175271","doi":"10.1061/9780784481660.023","title":"Transmission Pipeline Route Analysis to Support Growing Water Demand","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Pipeline transport; Quarter (Canadian coin); Engineering; Operations research; Computer science; Geography; Environmental engineering; Mechanical engineering; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001932084,0.0002621728,0.0003342883,0.0002996102,0.00009631939,0.00005672486,0.0002373756,0.0001470867,0.0006007406],"category_scores_gemma":[0.00001982509,0.0001907495,0.0001773759,0.0005078787,0.00003593779,0.0001520099,0.00003959385,0.0001503828,0.0003205209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003853617,"about_ca_system_score_gemma":0.000008166237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003448219,"about_ca_topic_score_gemma":0.00003114498,"domain_scores_codex":[0.9986202,0.00001300321,0.0003704951,0.0002920761,0.0002182595,0.0004859333],"domain_scores_gemma":[0.9992895,0.0000216814,0.00001200038,0.0003574497,0.0000779512,0.0002414231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006647244,0.00004351164,0.0002161677,0.0001112734,0.0006475518,0.00002213866,0.0009525372,0.7919354,0.1109018,0.0001522519,0.0363508,0.05860003],"study_design_scores_gemma":[0.0005630991,0.0002405976,0.001083122,0.00003497632,0.0006376047,0.00002042425,0.00003950257,0.4748082,0.1012266,0.0008738614,0.4195911,0.0008809883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09437063,0.00009016039,0.9011558,0.0003908029,0.0005498796,0.0001174522,0.000009651737,0.0008094038,0.002506172],"genre_scores_gemma":[0.9891937,0.00002304477,0.008142908,0.0002491024,0.0007573463,0.00001014613,0.00005160217,0.00004949062,0.00152264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8948231,"threshold_uncertainty_score":0.777854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008925045363902883,"score_gpt":0.2275289125103228,"score_spread":0.2186038671464199,"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."}}