{"id":"W2921084548","doi":"10.14288/1.0373602","title":"Towards urban and regional resilience : a case study of Metro Vancouver region, Canada","year":2018,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Geography; Environmental planning; Metropolitan area; Urban resilience; Regional science; Urban planning; Civil engineering; Engineering","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":[0.0008625864,0.0004968721,0.0003858945,0.001451353,0.02090248,0.002986027,0.002052246,0.001567748,0.002987085],"category_scores_gemma":[0.002102624,0.0003971434,0.0003022674,0.003571921,0.00413472,0.0006931882,0.00341582,0.001618693,0.0002649884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.053145,"about_ca_system_score_gemma":0.05869333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9893634,"about_ca_topic_score_gemma":0.9980683,"domain_scores_codex":[0.9984477,0.0003742199,0.00003192684,0.0001178367,0.0002835699,0.0007448077],"domain_scores_gemma":[0.9985735,0.0002591184,0.00009100615,0.00005890364,0.0003249382,0.0006923258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002717489,0.000586765,0.1693692,0.0006975853,0.0001143611,0.05863619,0.6300906,0.00425657,0.004022178,0.01759925,0.02095354,0.09340195],"study_design_scores_gemma":[0.00001780262,0.00009168666,0.07479119,0.0002160964,0.00003266393,0.002032063,0.8654467,0.001219751,0.0003575693,0.0008151783,0.05491716,0.00006207665],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972325,0.000645835,0.0007372305,0.00265262,0.00003556007,0.0002348443,0.0002674591,0.00002260379,0.0230789],"genre_scores_gemma":[0.9887921,0.0007770371,0.001262531,0.000556865,0.00001197296,0.00005825444,0.0001214898,0.00001890713,0.008400748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.053145,"threshold_uncertainty_score":0.3855957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775702797059046,"score_gpt":0.1755318443247319,"score_spread":0.1577748163541414,"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."}}