{"id":"W2124348009","doi":"10.3917/hsr.033.0159","title":"Une retraite bien préparée","year":2010,"lang":"fr","type":"article","venue":"Histoire & Sociétés Rurales","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Humanities; Political science; Art; Ethnology; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.0006051568,0.0004454254,0.0006334312,0.00006970874,0.00368697,0.0001436566,0.0006583615,0.0007313692,0.005022292],"category_scores_gemma":[0.0004214378,0.0004759111,0.0004974728,0.000970344,0.007573765,0.0004984608,0.0001328013,0.001069531,0.000924028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007479145,"about_ca_system_score_gemma":0.0003038236,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02744358,"about_ca_topic_score_gemma":0.02853818,"domain_scores_codex":[0.9967623,0.0002644364,0.000531514,0.0005652433,0.0008061615,0.001070384],"domain_scores_gemma":[0.9983503,0.0003106101,0.0003024838,0.0003906263,0.0002500971,0.0003959175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009940239,0.0002026902,0.001170139,0.00006760696,0.0001164771,0.00003154351,0.03096407,9.283618e-7,0.0006076511,0.3669004,0.4478724,0.1520562],"study_design_scores_gemma":[0.0003444176,0.00005235827,0.006220112,0.00007002673,0.0001202262,0.000003238429,0.006973377,0.00002139141,0.0000300692,0.03008182,0.9555048,0.0005781607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08501693,0.1461798,0.00003128916,0.09807456,0.0428932,0.0005333585,0.0001059299,0.0004072653,0.6267576],"genre_scores_gemma":[0.5276377,0.0071552,0.0009517812,0.0008920599,0.004566985,0.00005041691,0.00002177528,0.00006536089,0.4586587],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5076324,"threshold_uncertainty_score":0.9998538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04490330436808146,"score_gpt":0.3112633911568838,"score_spread":0.2663600867888023,"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."}}