{"id":"W3173803529","doi":"","title":"All Things Considered: Evaluating Emergency Preparedness for Vulnerable and Disadvantaged Populations in Canadian Cities","year":2017,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Preparedness; Emergency management; Economic growth; Geography; Medical emergency; Political science; Medicine; Economics","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":[0.004065793,0.001405706,0.001016329,0.002955769,0.01044437,0.003799968,0.003497386,0.001316704,0.002256841],"category_scores_gemma":[0.01154013,0.0006644308,0.002406578,0.005724455,0.001768993,0.001392373,0.003240998,0.00184935,0.0002507903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1068216,"about_ca_system_score_gemma":0.1389989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962574,"about_ca_topic_score_gemma":0.998894,"domain_scores_codex":[0.9962875,0.0006095513,0.0002659154,0.0002191716,0.001258495,0.00135942],"domain_scores_gemma":[0.9913419,0.0006682514,0.001097825,0.0001266572,0.003981918,0.002783458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006134426,0.00105109,0.9372944,0.0005460496,0.0005107825,0.0002795326,0.01139523,0.002952767,0.000198296,0.0006067365,0.007322626,0.03722914],"study_design_scores_gemma":[0.00007109379,0.0003627037,0.950689,0.0004881365,0.0002571182,0.00004645893,0.04213741,0.002267423,0.0002014567,0.0002123035,0.003162225,0.000104588],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905536,0.0008888273,0.000193061,0.001111774,0.00005243589,0.0006561188,0.001542379,0.00001274046,0.004989056],"genre_scores_gemma":[0.9950857,0.0008490764,0.001119663,0.0003131153,0.00001334538,0.0003583864,0.001165775,0.00001054766,0.001084419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1068216,"threshold_uncertainty_score":0.7750485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1007072869718198,"score_gpt":0.3790289583702684,"score_spread":0.2783216713984485,"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."}}