{"id":"W2782003588","doi":"","title":"Women’s Mental Health as the Basis of Preventive Planning for Disasters","year":2017,"lang":"en","type":"article","venue":"Irtiqā-yi īminī va pīshgīrī az maṣdūmiyat/ha (i.e.,Safety Promotion and Injury Prevention)","topic":"Global Socioeconomic and Political Dynamics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mental health; Empowerment; Psychology; Population; Public health; Austerity; Medicine; Psychiatry; Economic growth; Political science; Environmental health; Nursing; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001775793,0.0003299646,0.0007055381,0.0001239365,0.001284431,0.0002018656,0.0005409606,0.0001611391,0.0004943451],"category_scores_gemma":[0.0002327544,0.0003245335,0.0003578653,0.00007508012,0.0004213134,0.0006861799,0.0002436273,0.0002245855,0.0001232583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004546357,"about_ca_system_score_gemma":0.00008857801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001757912,"about_ca_topic_score_gemma":0.00002237,"domain_scores_codex":[0.9972087,0.000104654,0.001262902,0.0006413475,0.00009704811,0.0006853153],"domain_scores_gemma":[0.9974902,0.00008394409,0.001421399,0.0006563054,0.00006661536,0.0002815249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005241414,0.0007448678,0.01587002,0.0003907807,0.0005874602,9.626054e-7,0.005250871,0.00003184302,0.00001686914,0.9315484,0.003835442,0.04119836],"study_design_scores_gemma":[0.00637419,0.003643011,0.2629429,0.0005567035,0.0001143306,0.00003649245,0.004186671,0.005873641,0.0003234568,0.5223275,0.1920673,0.001553808],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425559,0.001013767,0.01062434,0.02022348,0.001808539,0.002855003,0.002864863,0.00008225726,0.01797185],"genre_scores_gemma":[0.9892126,0.0004168358,0.0009991339,0.0006000209,0.0001277092,0.0002382734,0.0001476496,0.00004457893,0.008213233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4092208,"threshold_uncertainty_score":0.9999207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03542630250097592,"score_gpt":0.3062025972745875,"score_spread":0.2707762947736115,"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."}}