{"id":"W2018824679","doi":"10.1186/s40359-014-0025-4","title":"Gender differences in the age-cohort distribution of psychological distress in Canadian adults: findings from a national longitudinal survey","year":2014,"lang":"en","type":"article","venue":"BMC Psychology","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut universitaire en santé mentale de Montréal; Institut Universitaire en Santé Mentale de Québec","funders":"","keywords":"Cohort; Demography; Population; Distress; Psychology; Cohort study; Longitudinal study; Psychological distress; Young adult; Cohort effect; Mental health; Clinical psychology; Medicine; Psychiatry; Developmental psychology","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":[0.001803791,0.0001403729,0.0003134848,0.0001164089,0.0001857108,0.000004964284,0.0003276499,0.000234554,0.0002033431],"category_scores_gemma":[0.0009017599,0.00009474437,0.00004230625,0.0002910156,0.0001703542,0.00003747192,0.00003768736,0.0004179608,0.00003564841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001113477,"about_ca_system_score_gemma":0.00005711862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.266266,"about_ca_topic_score_gemma":0.9017641,"domain_scores_codex":[0.9968695,0.001528649,0.0005078382,0.0003793923,0.0002230171,0.0004915897],"domain_scores_gemma":[0.9982418,0.001277591,0.0001100433,0.0002155928,0.00009413388,0.00006080363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001420976,0.0001260834,0.9901106,0.00001340398,0.00001068612,0.000003267912,0.0008283036,3.533398e-7,0.000002491426,0.002612145,0.006083253,0.00006733827],"study_design_scores_gemma":[0.001023264,0.00006610478,0.9946777,0.00005068695,0.000005015178,6.777306e-7,0.0002244695,0.00001611448,1.57264e-7,0.003294677,0.0005425033,0.0000986145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993293,0.00005424643,0.0001117913,0.0009703449,0.0004645073,0.0004124579,0.0005621305,0.00001084717,0.00412067],"genre_scores_gemma":[0.9979872,0.00003109213,0.00001917172,0.0007640126,0.000104314,0.0001844322,0.0008683003,0.000006211232,0.0000352957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.635498,"threshold_uncertainty_score":0.7386199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1789853260329219,"score_gpt":0.4502940982210769,"score_spread":0.2713087721881549,"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."}}