{"id":"W4390986754","doi":"10.32866/001c.91270","title":"Equity in Resilience Hub Design and Transportation through Community Discussions","year":2024,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta; Alberta Ecotrust Foundation","keywords":"Thematic analysis; Equity (law); Community resilience; Resilience (materials science); Focus group; Public transport; Transport engineering; Psychological resilience; Public relations; Environmental planning; Geography; Business; Sociology; Psychology; Political science; Engineering; Qualitative research; Marketing; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.005419434,0.0003022141,0.0001717403,0.0009998693,0.006089875,0.002765561,0.001429993,0.000722056,0.006332774],"category_scores_gemma":[0.006230314,0.0001645124,0.0002068494,0.0008839748,0.003412221,0.001992841,0.005321183,0.0006319658,0.000168808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007710059,"about_ca_system_score_gemma":0.0120228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07633219,"about_ca_topic_score_gemma":0.1800462,"domain_scores_codex":[0.9968641,0.001978011,0.00004214045,0.0002038803,0.0003262381,0.0005855085],"domain_scores_gemma":[0.9981712,0.00084536,0.0001806038,0.0001090807,0.0002896118,0.0004040494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002842887,0.0007947295,0.07197937,0.000795704,0.00004032999,0.001649877,0.5403285,0.004949554,0.005858758,0.06389029,0.008242844,0.3011858],"study_design_scores_gemma":[0.00004891636,0.0004812123,0.0456039,0.0005139887,0.00004577713,0.0002819074,0.8327639,0.002670916,0.002738877,0.01361505,0.1011568,0.00007875836],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9276351,0.0002228147,0.01768761,0.003170464,0.00006773311,0.0003472448,0.00007547216,0.0001167639,0.05067672],"genre_scores_gemma":[0.9937831,0.00007487116,0.003607848,0.00007533204,0.000004004873,0.00007956475,0.0000158002,0.000008194973,0.002351167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07633219,"threshold_uncertainty_score":0.1517758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0849199729045641,"score_gpt":0.3940309641790304,"score_spread":0.3091109912744663,"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."}}