{"id":"W4413597126","doi":"10.64628/aam.h69wpfd5v","title":"Funding electric public transit can reduce emissions and address economic inequality","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Inequality; Transit (satellite); Public transport; Transit system; Business; Natural resource economics; Economics; Environmental science; Transport engineering; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001102059,0.0003666032,0.000312471,0.0005353798,0.0004252586,0.001328433,0.0003424264,0.001041441,0.03654084],"category_scores_gemma":[0.007737929,0.00008384448,0.0003074961,0.0008705134,0.0004529846,0.0009988529,0.0010636,0.0005783334,0.00129174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001150177,"about_ca_system_score_gemma":0.002487294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00646946,"about_ca_topic_score_gemma":0.009444708,"domain_scores_codex":[0.9994104,0.0001848837,0.00001448999,0.00004984968,0.00009997458,0.0002404368],"domain_scores_gemma":[0.9970859,0.001349696,0.0004586671,0.0001877669,0.0006321989,0.0002857893],"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":[0.00376718,0.001924278,0.06335295,0.001171963,0.0003868399,0.0006991425,0.001508224,0.03485441,0.008982239,0.3682698,0.1098361,0.4052469],"study_design_scores_gemma":[0.001527905,0.001295097,0.1153437,0.0007085224,0.001268936,0.0003092255,0.007330149,0.06445202,0.01363294,0.5394771,0.2545805,0.00007394896],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6687897,0.002565034,0.02102081,0.04357574,0.00140896,0.0001435635,0.002378581,0.000591214,0.2595264],"genre_scores_gemma":[0.9721549,0.0005597147,0.0009021164,0.0006402377,0.000250824,0.0000402525,0.0002504934,0.00003671682,0.02516474],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03654084,"threshold_uncertainty_score":0.1222413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04681895985484924,"score_gpt":0.2649168132435897,"score_spread":0.2180978533887404,"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."}}