{"id":"W2476121234","doi":"10.1017/s0714980816000428","title":"Genre, travail et vieillissement","year":2016,"lang":"fr","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Content (measure theory); Computer science; Mathematics","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":[0.008009133,0.0004887669,0.001056678,0.005272003,0.01027625,0.01902304,0.001464531,0.003476479,0.06324205],"category_scores_gemma":[0.02802608,0.0003294271,0.000573542,0.009302864,0.006905515,0.006639773,0.003825172,0.005487461,0.008582243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01349749,"about_ca_system_score_gemma":0.02619659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2982055,"about_ca_topic_score_gemma":0.3320735,"domain_scores_codex":[0.9907873,0.002695017,0.0006791739,0.0007214085,0.003963056,0.001154035],"domain_scores_gemma":[0.9828482,0.006119493,0.001292568,0.0008489175,0.004793046,0.0040978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001754436,0.0001849803,0.01335995,0.001059321,0.00005377431,0.000702706,0.07350567,0.00007765287,0.0006423415,0.3113233,0.4428302,0.1560847],"study_design_scores_gemma":[0.00001334655,0.00002105225,0.01014342,0.0008099744,0.000005915761,0.0002123539,0.01760097,0.00001079732,0.00005616482,0.002977576,0.9681303,0.00001814641],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04066654,0.1997409,0.0005696117,0.1257009,0.03786127,0.00007541067,0.001832574,0.0001417023,0.593411],"genre_scores_gemma":[0.3523897,0.1268683,0.001496643,0.02097449,0.01454433,0.000238601,0.001336709,0.0004581255,0.481693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2982055,"threshold_uncertainty_score":0.5929395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02629313956513359,"score_gpt":0.2933954507917997,"score_spread":0.2671023112266662,"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."}}