{"id":"W3047051781","doi":"10.1038/s41467-020-17369-0","title":"The impact of the Syrian conflict on population well-being","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Resilience and Mental Health","field":"Psychology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Hong Kong","keywords":"Political science; Population; Spillover effect; Armed conflict; Face (sociological concept); World War II; Development economics; Geography; Psychology; Demography; Sociology; Social science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009893531,0.0002698172,0.0002648848,0.0007750209,0.001099476,0.001361792,0.0001670505,0.0002378738,0.003319746],"category_scores_gemma":[0.003562722,0.0000949733,0.0003349396,0.0009465425,0.0009582344,0.0006364569,0.002111949,0.0007615889,0.0002406202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009354379,"about_ca_system_score_gemma":0.0009199515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0156522,"about_ca_topic_score_gemma":0.02719609,"domain_scores_codex":[0.9992393,0.0003418667,0.00004168178,0.00006774125,0.00009157124,0.0002178361],"domain_scores_gemma":[0.9990307,0.0001910776,0.0003377682,0.0000694924,0.0001517114,0.0002192526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001633273,0.00007458811,0.9586882,0.0001114238,0.0001624441,0.0003535253,0.008245108,0.000189703,0.0004362775,0.0008751721,0.002064812,0.02863547],"study_design_scores_gemma":[0.000001459201,0.00004530276,0.9926652,0.00004735376,0.0000187705,0.00006271685,0.005390607,0.00005398797,0.000060064,0.0002016026,0.001447204,0.000005625402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937491,0.0008949193,0.00006785885,0.0009475056,0.00004452975,0.000006413009,0.000301736,0.000002474466,0.003985427],"genre_scores_gemma":[0.9991925,0.0004038234,0.0000330049,0.0001050219,0.00002104311,0.000005204166,0.00009262476,9.99361e-7,0.0001456967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0156522,"threshold_uncertainty_score":0.03112221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04325505691779222,"score_gpt":0.4477915147921789,"score_spread":0.4045364578743867,"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."}}