{"id":"W3003317200","doi":"10.17230/ad-minister.35.5","title":"Small and Medium Enterprises in the Americas, Effect of Disaster Experience on Readiness Capabilities","year":2019,"lang":"en","type":"article","venue":"AD-minister","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Office of U.S. Foreign Disaster Assistance; World Bank Group; United States Agency for International Development","keywords":"Disaster risk reduction; Business; Resilience (materials science); Small business; Small and medium-sized enterprises; Psychological resilience; Private sector; Emergency management; Economic growth; Finance; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004327706,0.0001056361,0.0001727868,0.00005071621,0.00006714217,0.00006850481,0.0003601736,0.00003441315,0.0001016686],"category_scores_gemma":[0.00009930418,0.00006212434,0.00003822432,0.0001450066,0.0006691254,0.0001442962,0.00007267237,0.00006340027,0.00003216257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001270976,"about_ca_system_score_gemma":0.00001199897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001794023,"about_ca_topic_score_gemma":0.0003142219,"domain_scores_codex":[0.9988476,0.0002742851,0.0001607777,0.0002210911,0.0002810372,0.0002151802],"domain_scores_gemma":[0.9990731,0.0005474327,0.00008123662,0.000251883,0.00001312318,0.00003324064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002110428,0.0001243875,0.619428,0.0001814852,0.00001280826,0.00001061152,0.3708293,0.000001906201,0.0003121421,0.001523986,0.0005888121,0.006775536],"study_design_scores_gemma":[0.001401939,0.001873769,0.4706268,0.0004499136,0.00004692478,0.000002868025,0.3862922,0.00002114835,0.001175284,0.0004089177,0.1371295,0.0005707126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9265084,0.00004725951,0.000003630206,0.0008830403,0.0002431808,0.0003687,0.000001386846,0.00000946313,0.07193489],"genre_scores_gemma":[0.9936792,0.00002824674,0.00000948689,0.0005324585,0.00003194663,0.00004050827,8.598857e-7,0.000005138116,0.0056721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1488012,"threshold_uncertainty_score":0.2533357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661016768023234,"score_gpt":0.2992705064756732,"score_spread":0.2826603387954409,"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."}}