{"id":"W2013276158","doi":"10.1017/s1049023x11004286","title":"(P1-96) Social Context of Natural Disaster","year":2011,"lang":"en","type":"article","venue":"Prehospital and Disaster Medicine","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Natural disaster; Context (archaeology); Urbanization; Population; Industrialisation; Geography; Displaced person; Economic growth; Development economics; Political science; Sociology; Refugee; Economics; Demography","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":[0.0007946047,0.0002666881,0.0003539916,0.0004671846,0.005448696,0.005700545,0.0009519115,0.001899075,0.1275869],"category_scores_gemma":[0.00221284,0.0001687943,0.0002273948,0.00139973,0.002010927,0.002737153,0.003269512,0.003686332,0.01838186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005328133,"about_ca_system_score_gemma":0.007825461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0836444,"about_ca_topic_score_gemma":0.1629611,"domain_scores_codex":[0.9994043,0.0002105132,0.00001800308,0.00006358138,0.0001708285,0.0001327419],"domain_scores_gemma":[0.9984093,0.0002609858,0.00007446227,0.00004526442,0.0003620192,0.0008478449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001751553,0.0000500254,0.002737909,0.0002153351,0.000004963523,0.0003240079,0.00841877,0.00003024423,0.00004878735,0.01019107,0.9133641,0.06459723],"study_design_scores_gemma":[0.000008748014,0.00002771066,0.01534356,0.000875283,0.000002849647,0.0003471006,0.02547741,0.00002552969,0.00002580679,0.002840513,0.9550151,0.00001032487],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0151264,0.01867869,0.0004395899,0.2425985,0.0184293,0.0002456687,0.002286736,0.00007088421,0.7021243],"genre_scores_gemma":[0.3066055,0.05483725,0.000764482,0.05811547,0.007205491,0.0007619564,0.001996772,0.0001537973,0.5695593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1275869,"threshold_uncertainty_score":0.4268206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0316518876577104,"score_gpt":0.2749144255897002,"score_spread":0.2432625379319898,"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."}}