{"id":"W4400619724","doi":"10.1016/j.samod.2024.100030","title":"Travel Behaviour and Community Needs for Resilience Hubs","year":2024,"lang":"en","type":"article","venue":"Sustainability Analytics and Modeling","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"City of Edmonton; University of Alberta; Mitacs; Alberta Ecotrust Foundation","keywords":"Resilience (materials science); Community resilience; Economic geography; Sociology; Geography; Environmental planning; Computer science; Physics; Computer network","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":[0.0003389062,0.0000921153,0.0001252785,0.0004560343,0.0009141898,0.0008188413,0.0003277561,0.0002828136,0.004390206],"category_scores_gemma":[0.002085424,0.0001159786,0.0001797292,0.0008556149,0.0004448241,0.000550476,0.0007481795,0.0003883276,0.0001848552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001873625,"about_ca_system_score_gemma":0.002365669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3298678,"about_ca_topic_score_gemma":0.6073744,"domain_scores_codex":[0.9998009,0.00004722868,0.000009497295,0.00003215584,0.00003068081,0.00007961223],"domain_scores_gemma":[0.9990898,0.0001537199,0.0002404147,0.00004367239,0.0001684348,0.0003039591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008153701,0.0000996087,0.9706931,0.00007245347,0.00003268419,0.0002814284,0.01115745,0.0009673405,0.0004373622,0.001028348,0.001457467,0.01369129],"study_design_scores_gemma":[0.000003312696,0.00004516379,0.961201,0.00004234459,0.00001013819,0.000105152,0.03536025,0.0008192893,0.00006075958,0.0002338603,0.002102409,0.00001621446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986627,0.00003830406,0.0000640823,0.000125061,0.000001410882,0.000007414542,0.0001924431,0.000002876777,0.0009056336],"genre_scores_gemma":[0.9992138,0.00005979154,0.00009798179,0.00001276539,0.000001028084,0.000005401126,0.0001317257,0.000001259284,0.0004762392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3298678,"threshold_uncertainty_score":0.6558954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04379859657638047,"score_gpt":0.3538939816061476,"score_spread":0.3100953850297671,"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."}}