{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001716235,0.00004300066,0.0002934354,0.00007127904,0.000202012,0.00002464597,0.0002143872,0.0000475466,0.00004623003],"category_scores_gemma":[0.00004103874,0.0001357616,0.00003950047,0.000314915,0.0003050554,0.0002102409,0.0001086051,0.00006175072,0.000002975919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001239711,"about_ca_system_score_gemma":0.0002448291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9793265,"about_ca_topic_score_gemma":0.9979582,"domain_scores_codex":[0.9990788,0.00001555044,0.0002258882,0.0003900766,0.0001125457,0.0001771672],"domain_scores_gemma":[0.9992138,0.00003037313,0.0002495221,0.000230484,0.0001658609,0.0001099832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003060629,0.0003000637,0.8426208,0.00005147646,0.00009121731,0.002604357,0.002010584,0.000006919683,0.000001791609,0.00007722382,0.1073312,0.04487376],"study_design_scores_gemma":[0.0007187783,0.0002291916,0.9789749,0.00003072636,0.000007943758,0.0001518462,0.015706,0.00009345075,3.055009e-7,0.0006756413,0.003259309,0.0001518567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969436,0.0002560651,0.0001703832,0.00006300458,0.0001282459,0.0001699421,0.00004555233,0.000007505236,0.002215709],"genre_scores_gemma":[0.9987741,0.00006041986,0.0002327401,0.00006372629,0.00002120851,5.655579e-7,0.000001274029,0.000005980553,0.0008399713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1363542,"threshold_uncertainty_score":0.5536199,"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."}}