{"id":"W4233126966","doi":"10.3138/jcs.40.1.37","title":"Hurricane Hazel: Disaster Relief, Politics, and Society in Canada, 1954-55","year":2006,"lang":"en","type":"article","venue":"Journal of Canadian Studies","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Storm; Natural disaster; Government (linguistics); Local government; Political science; Emergency management; Public administration; Geography; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0009005963,0.000335259,0.0003720598,0.001695179,0.03974225,0.00513404,0.001295413,0.001281147,0.005274655],"category_scores_gemma":[0.0024184,0.0003403889,0.0002474081,0.004514859,0.01129166,0.001386806,0.003488249,0.002320041,0.000304169],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2222082,"about_ca_system_score_gemma":0.2306943,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9991842,"about_ca_topic_score_gemma":0.9997283,"domain_scores_codex":[0.9984471,0.0001464628,0.00002603643,0.00008526612,0.0004063344,0.0008887068],"domain_scores_gemma":[0.9982765,0.0001504837,0.0001246809,0.00002598171,0.0005150547,0.0009073382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001418275,0.0001211399,0.08212171,0.0003002391,0.00004939828,0.001471836,0.6451378,0.0007276608,0.0006026733,0.07940526,0.1383533,0.05156718],"study_design_scores_gemma":[0.00001948193,0.00002934335,0.1779068,0.0002376234,0.00002001688,0.0001729424,0.4895938,0.0002012707,0.0001722414,0.001949586,0.3296353,0.00006168467],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.745357,0.0167734,0.0003021378,0.0963974,0.0007825138,0.0001272493,0.001572088,0.00004730859,0.138641],"genre_scores_gemma":[0.9586951,0.006313391,0.0001637134,0.002742747,0.00005435415,0.00002795709,0.0002706245,0.00001841623,0.03171376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2222082,"threshold_uncertainty_score":0.9021282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545762961858239,"score_gpt":0.2609673628670616,"score_spread":0.2455097332484792,"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."}}