{"id":"W2773389852","doi":"10.2749/222137817822208780","title":"Eglinton Crosstown and Evergreen Line LRTs - Structural Design on Mass Transit Projects","year":2017,"lang":"en","type":"article","venue":"Report","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Transit (satellite); Rapid transit; Rail transit; Transport engineering; Transit system; Line (geometry); Light rail; Light rail transit; Urban transit; Engineering; Civil engineering; Computer science; Public transport","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003975286,0.0004139075,0.0000959118,0.0004274261,0.0007892054,0.001042621,0.0005730477,0.0006220974,0.01405608],"category_scores_gemma":[0.000455744,0.000281631,0.0001545541,0.0004003209,0.0004581908,0.000491614,0.0007947528,0.0003268132,0.001675612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003669127,"about_ca_system_score_gemma":0.003393341,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0895763,"about_ca_topic_score_gemma":0.2740887,"domain_scores_codex":[0.9995758,0.00008978588,0.000009247769,0.00003665958,0.000218988,0.00006940088],"domain_scores_gemma":[0.9996358,0.00001855372,0.00001736078,0.00001713456,0.0002354187,0.0000755915],"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":[0.00041532,0.0002337803,0.02412122,0.0005968816,0.0000339891,0.003589678,0.005387886,0.1719195,0.09625431,0.09061886,0.085121,0.5217077],"study_design_scores_gemma":[0.0001231542,0.001601287,0.04498735,0.0004838512,0.00006436087,0.001683258,0.01302425,0.09662749,0.02650878,0.007718158,0.8071032,0.00007500576],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3739583,0.0007980377,0.06354249,0.001758601,0.0001367814,0.0003852498,0.0004064132,0.0004619939,0.5585521],"genre_scores_gemma":[0.6408363,0.0009656973,0.03246843,0.0001567289,0.00002109082,0.0001835187,0.0003805525,0.0001735586,0.3248141],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9104237,"threshold_uncertainty_score":0.1781098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216855903242313,"score_gpt":0.2614599453684843,"score_spread":0.239774355044253,"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."}}