{"id":"W2321174942","doi":"10.1061/9780784479797.024","title":"The Detroit People Mover with a Canadian Connection","year":2016,"lang":"en","type":"article","venue":"","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downtown; Light rail transit; Government (linguistics); Corporation; Public transport; Light rail; Transit system; Transit (satellite); Transport engineering; Engineering; Urban rail; Business; Geography; Finance; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006775703,0.0004877876,0.0002062037,0.0007079823,0.02736201,0.006164409,0.0008617649,0.001852223,0.03014196],"category_scores_gemma":[0.001203248,0.0002904529,0.0003245249,0.00143801,0.004191194,0.001886967,0.003662856,0.002683658,0.003129904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04286158,"about_ca_system_score_gemma":0.06499989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9792405,"about_ca_topic_score_gemma":0.9951228,"domain_scores_codex":[0.9983418,0.0001348408,0.00001643027,0.0001943576,0.0006621168,0.0006505139],"domain_scores_gemma":[0.9985928,0.00004087069,0.00002588096,0.00003664477,0.0005670722,0.0007367849],"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":[0.0000552395,0.00005777876,0.01074548,0.0001036759,0.00001904624,0.00206816,0.01825345,0.0001885549,0.001095652,0.09271876,0.7956827,0.07901153],"study_design_scores_gemma":[0.000001827479,0.000009998153,0.002354703,0.00004233463,0.000004047825,0.0001824559,0.00748153,0.00003583742,0.00009961953,0.000510151,0.9892616,0.00001586728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06500356,0.005657449,0.001231037,0.1317892,0.002940335,0.0000632981,0.0008202626,0.0002082608,0.7922865],"genre_scores_gemma":[0.2156576,0.004011224,0.001662417,0.01863851,0.0002403306,0.0000371481,0.0003887091,0.0001624755,0.7592016],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04286158,"threshold_uncertainty_score":0.310984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001544942124335499,"score_gpt":0.1447917343401403,"score_spread":0.1432467922158048,"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."}}