{"id":"W6902254311","doi":"10.6084/m9.figshare.20146937","title":"Can We Retrofit Suburban Arterials?","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Walkability; Retrofitting; Urban planning; Adaptability; Urbanism; Plan (archaeology); Urban regeneration; Urban design","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":[0.00285024,0.0005815607,0.0003928083,0.001531037,0.002957139,0.006972143,0.001974936,0.001016412,0.01008921],"category_scores_gemma":[0.01219046,0.000304031,0.0004600089,0.004389554,0.002654039,0.006515211,0.0019737,0.00152086,0.002476334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006079216,"about_ca_system_score_gemma":0.01245838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1609568,"about_ca_topic_score_gemma":0.517745,"domain_scores_codex":[0.9979784,0.0006238007,0.00006522855,0.0001785302,0.0005746694,0.0005794594],"domain_scores_gemma":[0.993883,0.0006744083,0.0009257193,0.0006991795,0.002486735,0.001331002],"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":[0.0001471394,0.0002147694,0.2911708,0.0006762652,0.0001754046,0.0009885518,0.02012072,0.008198208,0.001802712,0.04733131,0.05715028,0.5720239],"study_design_scores_gemma":[0.00001704884,0.0002214777,0.1766418,0.001012356,0.0001730908,0.0009163318,0.1193488,0.005586668,0.002693474,0.0265882,0.6666616,0.0001390115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7311879,0.009823226,0.04792588,0.07037308,0.001287606,0.0003698702,0.002713136,0.001498709,0.1348205],"genre_scores_gemma":[0.9424127,0.006648595,0.02928443,0.001556577,0.0001190204,0.0001014358,0.0009413226,0.0002419311,0.01869404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1609568,"threshold_uncertainty_score":0.3200399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0565109295153195,"score_gpt":0.2946703098316337,"score_spread":0.2381593803163142,"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."}}