{"id":"W2993133610","doi":"10.1111/jopy.12531","title":"Cognitive integration of personal or public events affects mental health: Examining memory networks in a case of natural flooding disaster","year":2019,"lang":"en","type":"article","venue":"Journal of Personality","topic":"Posttraumatic Stress Disorder Research","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mental health; Psychology; Flood myth; Affect (linguistics); Demographics; Event (particle physics); Public health; Population; Cognition; Natural disaster; Developmental psychology; Social psychology; Clinical psychology; Psychiatry; Demography; Medicine; Environmental health; Geography; Communication; Sociology; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005433565,0.0002020177,0.0001748243,0.0004964321,0.0007779911,0.0007692589,0.0003076565,0.0003738551,0.001195494],"category_scores_gemma":[0.002775249,0.0001704245,0.0002712454,0.0003298539,0.0004664004,0.0007313905,0.0008342142,0.0005803118,0.00007963336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004819379,"about_ca_system_score_gemma":0.0003646709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005622912,"about_ca_topic_score_gemma":0.01264438,"domain_scores_codex":[0.9998243,0.00005820193,0.00001563994,0.00002391536,0.00003117492,0.00004676099],"domain_scores_gemma":[0.9990687,0.0001762728,0.0005003934,0.00006050279,0.00005762413,0.0001365171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002228734,0.0004827687,0.9747024,0.00004015581,0.00007942241,0.000651233,0.01482255,0.0001253929,0.0008106032,0.00008784555,0.0001333803,0.007841437],"study_design_scores_gemma":[0.000005183085,0.0002393515,0.9830898,0.000012562,0.00002695925,0.0004179603,0.01565247,0.000147776,0.0001239191,0.000121014,0.0001566343,0.000006278541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997709,0.00002153217,0.00001614909,0.0000276622,0.000001029178,0.000003247912,0.000007687371,2.484076e-7,0.0001514354],"genre_scores_gemma":[0.9998393,0.0000324225,0.00003278326,0.000008295564,0.000001804643,0.000003463373,0.00001364384,1.54834e-7,0.00006807706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005622912,"threshold_uncertainty_score":0.0111804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1543099785838988,"score_gpt":0.4338000865435565,"score_spread":0.2794901079596577,"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."}}