{"id":"W2473262444","doi":"10.1017/s0714980816000416","title":"Gender, Work, and Aging","year":2016,"lang":"en","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institutes of Health Research","funders":"","keywords":"Work (physics); Psychology; Engineering; Mechanical engineering","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":[0.001708318,0.00020351,0.0004699841,0.001646674,0.003361334,0.003311694,0.0004843398,0.001051107,0.01345152],"category_scores_gemma":[0.004019722,0.000193745,0.0003677469,0.002128889,0.001858665,0.001087662,0.001228813,0.0008735862,0.0006026909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002480362,"about_ca_system_score_gemma":0.005725866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2535587,"about_ca_topic_score_gemma":0.5081125,"domain_scores_codex":[0.999071,0.0002404448,0.00004023996,0.00005908819,0.0003056949,0.0002834889],"domain_scores_gemma":[0.9977878,0.0005153528,0.0002717164,0.00006547721,0.0002774462,0.001082129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003531707,0.000761315,0.7961981,0.0002697841,0.0001707996,0.00048526,0.02835071,0.000125517,0.0003382233,0.01648429,0.04011369,0.1163492],"study_design_scores_gemma":[0.00001717522,0.00009887722,0.9205015,0.000321408,0.00004568377,0.0001347967,0.0308606,0.00004222879,0.00003134062,0.00360685,0.0443142,0.00002543432],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7269433,0.1187884,0.0001855295,0.05936085,0.002864848,0.00003759524,0.001397746,0.00002183208,0.09039995],"genre_scores_gemma":[0.9669898,0.0191718,0.00009544413,0.002048315,0.0003948345,0.00002327704,0.0001538531,0.000009423429,0.01111323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2535587,"threshold_uncertainty_score":0.5041656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02503463440066129,"score_gpt":0.2912103247033738,"score_spread":0.2661756903027125,"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."}}