{"id":"W4293193200","doi":"10.4095/329406","title":"BC Disaster Risk Reduction Hub: working together to build resilient communities in British Columbia, design concept note","year":2022,"lang":"en","type":"report","venue":"","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Disaster risk reduction; Resilience (materials science); Work (physics); Risk management; Emergency management; Corporate governance; Natural disaster; Modernization theory; Environmental planning; Business; Environmental resource management; Political science; Engineering; Geography; Finance","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002246918,0.0004995824,0.000207478,0.001038201,0.01172207,0.004770183,0.001740976,0.0009977359,0.01701867],"category_scores_gemma":[0.002311142,0.0005074375,0.0002202121,0.001643964,0.00389728,0.001335636,0.004160487,0.001278523,0.001340232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02764268,"about_ca_system_score_gemma":0.07756933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.667977,"about_ca_topic_score_gemma":0.8955191,"domain_scores_codex":[0.9984675,0.0005819991,0.00003680772,0.0001760101,0.0003413818,0.0003963522],"domain_scores_gemma":[0.9982565,0.0001977122,0.00005304926,0.00009502727,0.000594984,0.0008026629],"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":[0.0006503861,0.001557579,0.02858643,0.002567858,0.00004696734,0.00385177,0.2295651,0.00744023,0.01291521,0.1004617,0.1720671,0.4402897],"study_design_scores_gemma":[0.0002455275,0.0004680983,0.02625163,0.0005601153,0.0000486927,0.0004057363,0.243185,0.002024842,0.003104751,0.01075811,0.7128611,0.00008644369],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4037308,0.001202154,0.05907283,0.01841972,0.0004243931,0.02977741,0.003569537,0.001023508,0.4827797],"genre_scores_gemma":[0.6765422,0.001131434,0.1103946,0.002388289,0.00002459197,0.01543566,0.0008160091,0.0002538063,0.1930135],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.332023,"threshold_uncertainty_score":0.6679567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05068928791523964,"score_gpt":0.3188676602118273,"score_spread":0.2681783722965876,"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."}}