{"id":"W7064954143","doi":"","title":"Creating and Sustaining Equity in Little Canada through Pedestrian, Bicycle, and Public Transit Connectivity","year":2022,"lang":"en","type":"other","venue":"University of Minnesota Digital Conservancy (University of Minnesota)","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Public transport; Public policy; Equity crowdfunding; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009449471,0.0002035892,0.0001807678,0.001045048,0.006992396,0.006132945,0.0008685022,0.001006497,0.01874499],"category_scores_gemma":[0.003424712,0.0001310815,0.0001886202,0.001506071,0.001717353,0.001433636,0.003924305,0.001049973,0.0007438906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03911901,"about_ca_system_score_gemma":0.1852143,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9740747,"about_ca_topic_score_gemma":0.9935993,"domain_scores_codex":[0.9985887,0.00008568932,0.00001301128,0.00004869973,0.0004473336,0.0008164914],"domain_scores_gemma":[0.9969159,0.0001848268,0.00005213171,0.00006380449,0.001054771,0.001728494],"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":[0.0001679313,0.0003119023,0.09047613,0.0001854114,0.00003593714,0.0004900174,0.01119972,0.00321774,0.001973041,0.1876844,0.3103348,0.393923],"study_design_scores_gemma":[0.00006013064,0.0001913798,0.1348157,0.0004388677,0.00007652526,0.0001236367,0.0588504,0.003784837,0.001865449,0.02698129,0.7727293,0.00008258074],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.282642,0.001607293,0.002287215,0.05361121,0.0002682322,0.0003354831,0.002378703,0.0002220974,0.6566477],"genre_scores_gemma":[0.8663825,0.001466782,0.002053847,0.003235422,0.00007390467,0.00007994469,0.0006384018,0.00007775835,0.1259915],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9740747,"threshold_uncertainty_score":0.2838296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284824335104915,"score_gpt":0.2113314132811747,"score_spread":0.1984831699301256,"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."}}