{"id":"W2525206503","doi":"10.2495/safe-v6-n3-597-606","title":"Coping mechanisms of SME in response to 2011 floods in Pathumthani, Thailand","year":2016,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Global Health and Epidemiology","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coping (psychology); Psychology; Clinical psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002391658,0.00008037579,0.0002932563,0.0003401595,0.00002228336,0.000001489375,0.0001642002,0.0001128029,0.00007174056],"category_scores_gemma":[0.0009858428,0.0000595457,0.0000353132,0.00006779617,0.00001114718,0.0001126692,0.00007099302,0.0002971324,0.000007307055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000187536,"about_ca_system_score_gemma":0.0001079275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000156775,"about_ca_topic_score_gemma":0.0001982759,"domain_scores_codex":[0.9984345,0.000218249,0.0008505611,0.00009119833,0.0001640383,0.000241461],"domain_scores_gemma":[0.9984328,0.001031888,0.0002049219,0.00005787589,0.0001448643,0.0001276525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05902823,0.0006112346,0.5957168,0.001268149,0.0003548005,0.001075858,0.04426495,0.01198033,0.1064618,0.160154,0.001997875,0.01708599],"study_design_scores_gemma":[0.009716067,0.0008479025,0.9336694,0.007233167,0.00001222091,0.0001628692,0.001473386,0.002912097,0.0007211904,0.02219266,0.02066444,0.0003945817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710413,0.0002645609,0.01797079,0.009264129,0.001173972,0.0001388934,0.00003285233,0.000006264475,0.0001072422],"genre_scores_gemma":[0.9980651,0.000458825,0.000889795,0.0004497756,0.0001088507,0.00000295599,6.600035e-7,0.000006248056,0.00001778343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3379526,"threshold_uncertainty_score":0.2428203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02312950175282158,"score_gpt":0.3593806143216171,"score_spread":0.3362511125687955,"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."}}