{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001478474,0.0003581947,0.0008694602,0.0003469819,0.0003429029,0.00004147808,0.0004838242,0.0001478946,0.002704976],"category_scores_gemma":[0.00002708942,0.0005213593,0.0001746536,0.0005940505,0.0005822775,0.0007366211,0.0006039892,0.0003541361,0.000001606908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001719886,"about_ca_system_score_gemma":0.0007647979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.562885,"about_ca_topic_score_gemma":0.5426041,"domain_scores_codex":[0.998252,0.0001056247,0.0002036962,0.0006393045,0.0003463147,0.0004530469],"domain_scores_gemma":[0.9986692,0.0002367743,0.000471249,0.0003583841,0.00009487949,0.0001694838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003700209,0.0006129778,0.9404592,0.0008364979,0.001089719,0.0004409645,0.005079779,0.00002263234,0.0001001389,0.009478838,0.02886745,0.01264178],"study_design_scores_gemma":[0.009081502,0.0005580311,0.07437169,0.0009926195,0.001242653,0.00002031783,0.3618153,0.000922523,0.00004748106,0.001830261,0.5463529,0.002764747],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6676472,0.0009282101,0.0008043157,0.001079733,0.00006403487,0.0004487303,0.002070031,0.00004932418,0.3269085],"genre_scores_gemma":[0.9692271,0.000250829,0.0004752229,0.000013095,0.00003268684,1.547853e-7,0.0002458787,0.00006576486,0.02968926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8660875,"threshold_uncertainty_score":0.9997238,"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."}}