{"id":"W3000272076","doi":"10.1061/9780784481653.050","title":"When Transit Expansions Requires You to Really Understand Your Water System","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Redundancy (engineering); Transit (satellite); Transit system; Public transport; Work (physics); Water supply; Transport engineering; Computer science; Rapid transit; Engineering; Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001505373,0.000182217,0.0002050957,0.0001106164,0.0001099412,0.00007526454,0.0001568516,0.0001017754,0.00009375725],"category_scores_gemma":[0.00000564769,0.0001320851,0.00004887625,0.00008973039,0.00002849521,0.0001721232,0.00002606335,0.0000514368,0.0006989152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008428321,"about_ca_system_score_gemma":0.00001082728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001410776,"about_ca_topic_score_gemma":0.0005927295,"domain_scores_codex":[0.9989292,0.00002235564,0.0003351782,0.0002192012,0.0001644632,0.0003296133],"domain_scores_gemma":[0.9993852,0.000007201605,0.00001689652,0.0003342264,0.0001242464,0.0001322787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001421722,0.00006131884,0.0002370973,0.0008686795,0.0002108694,0.00003912794,0.05254635,0.09782244,0.041901,0.00100221,0.8032477,0.001921069],"study_design_scores_gemma":[0.002963066,0.0008710645,0.0003940763,0.001641027,0.0002719258,0.0001609925,0.0124697,0.3353232,0.1118021,0.0008927383,0.5305881,0.002621952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07153835,0.0001864203,0.8941101,0.001290645,0.003728112,0.0006127026,0.00004056378,0.001262267,0.02723081],"genre_scores_gemma":[0.9890888,0.00001152736,0.004044891,0.00007728203,0.001475555,0.00001788494,0.00002675587,0.00006642883,0.005190922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9175504,"threshold_uncertainty_score":0.8983374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02714455311024397,"score_gpt":0.2285112035677868,"score_spread":0.2013666504575428,"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."}}