{"id":"W1980356378","doi":"10.1300/j013v38n01_01","title":"Age and the Gender Gap in Distress","year":2003,"lang":"en","type":"article","venue":"Women & Health","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Distress; Disadvantaged; Disadvantage; Psychology; Context (archaeology); Vulnerability (computing); Gerontology; Demography; Population; Developmental psychology; Clinical psychology; Medicine; Sociology; Political science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001199351,0.0001155897,0.0002519808,0.0008634626,0.0004079402,0.0006926687,0.0002150566,0.00034175,0.005564542],"category_scores_gemma":[0.008731292,0.0001262891,0.0002097287,0.0007770712,0.0005228167,0.0007240708,0.00108863,0.0003340126,0.0003866711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004174578,"about_ca_system_score_gemma":0.0003756625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008592112,"about_ca_topic_score_gemma":0.01414183,"domain_scores_codex":[0.9993524,0.0001925275,0.00004478997,0.0000957571,0.000116183,0.0001983303],"domain_scores_gemma":[0.9971787,0.001062204,0.0009286756,0.0000988247,0.0002022649,0.00052937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002472927,0.00005570869,0.9691377,0.00004522831,0.00004358653,0.0001700797,0.004820602,0.00006173999,0.0002457495,0.00113414,0.0008309382,0.0232073],"study_design_scores_gemma":[0.000003906018,0.00004883912,0.9957769,0.00002443672,0.000009622617,0.000150925,0.00252002,0.00005269977,0.00002527593,0.0005426174,0.0008399984,0.000004818332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931173,0.002316583,0.00008643125,0.0007609365,0.00004085738,0.00000432482,0.0001971852,0.000002967632,0.003473288],"genre_scores_gemma":[0.9990189,0.0004291227,0.00002189819,0.00006378165,0.00001615263,0.000002940255,0.00005524444,0.000001431251,0.0003904217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008592112,"threshold_uncertainty_score":0.01861525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08874633243024202,"score_gpt":0.4165546723181808,"score_spread":0.3278083398879388,"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."}}