{"id":"W6987065317","doi":"","title":"Saving Time and Making Cents: A Blueprint for Building Transit Better","year":2021,"lang":"en","type":"report","venue":"Issue Lab (Candid)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blueprint; Timeline; Metropolitan area; Public transport; Downtown; Scrutiny; Transit (satellite)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001499179,0.0009496295,0.001621207,0.0004928947,0.000328231,0.0004868112,0.0004547264,0.0007692641,0.001461885],"category_scores_gemma":[0.0005084784,0.001030463,0.0004601111,0.0004431892,0.0001267335,0.0002339962,0.0003502191,0.0008690016,0.0004922244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196043,"about_ca_system_score_gemma":0.000743234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006699641,"about_ca_topic_score_gemma":0.0005364392,"domain_scores_codex":[0.9946414,0.0001608975,0.001027882,0.001672564,0.001291934,0.001205388],"domain_scores_gemma":[0.9971569,0.0002741813,0.0006798149,0.00100673,0.0006277427,0.0002546502],"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":[0.0009695528,0.0009292327,0.01364474,0.01744809,0.008375825,0.005418915,0.01119573,0.0005122171,0.2211141,0.000273981,0.4588007,0.2613169],"study_design_scores_gemma":[0.001385249,0.00006157866,0.001438025,0.005313326,0.0009683439,0.0004768143,0.00009387346,0.0004515983,0.002533847,0.0001642153,0.9857531,0.001359994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6350714,0.1125995,0.01074448,0.007263894,0.01199047,0.01836069,0.01880128,0.005146652,0.1800217],"genre_scores_gemma":[0.7788864,0.003734302,0.08310541,0.002952759,0.02485721,0.001774163,0.005522351,0.007551724,0.09161564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5269524,"threshold_uncertainty_score":0.9994509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03178631717363459,"score_gpt":0.3253206639114124,"score_spread":0.2935343467377778,"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."}}