{"id":"W4390079896","doi":"10.1093/geroni/igad104.2682","title":"DIFFERENCES IN CONFORMITY TO MASCULINE NORMS ACROSS AGE COHORTS","year":2023,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Gender Roles and Identity Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conformity; Masculinity; Demography; Psychology; Analysis of variance; Middle age; Young adult; Hegemonic masculinity; Age groups; Developmental psychology; Gerontology; Medicine; Social psychology; Internal medicine; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001150009,0.0001813124,0.0002278972,0.0007367729,0.000488324,0.0006400262,0.0002582109,0.0002541746,0.002338929],"category_scores_gemma":[0.004994106,0.0001484963,0.0002412116,0.00041781,0.0003361963,0.0004061354,0.0005680597,0.00050313,0.0002678608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002317461,"about_ca_system_score_gemma":0.0002339562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005991196,"about_ca_topic_score_gemma":0.008168397,"domain_scores_codex":[0.9994385,0.00009886935,0.00004503412,0.0001262242,0.0001938208,0.00009757371],"domain_scores_gemma":[0.9970905,0.000496183,0.001080179,0.0002417041,0.0005533327,0.0005381179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007206864,0.0000599654,0.9947267,0.000004346469,0.00005189776,0.00003723887,0.001049363,0.00003244602,0.0005950502,0.00006377643,0.0001054873,0.003201565],"study_design_scores_gemma":[7.691398e-7,0.00004907944,0.9993674,0.000001567538,0.000003077947,0.0000219522,0.0003631353,0.00002494354,0.00005967414,0.00002409026,0.00008227779,0.000002016053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993054,0.00003842717,0.00004340069,0.00001603584,0.000004708664,0.000004804273,0.00007701645,0.000002675445,0.0005074558],"genre_scores_gemma":[0.9992827,0.00002976618,0.00005554784,0.00001274309,0.000003832019,0.000005939296,0.0001376181,0.000001604676,0.0004702699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005991196,"threshold_uncertainty_score":0.01191264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06910614769032064,"score_gpt":0.3680624897490684,"score_spread":0.2989563420587478,"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."}}