{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002180522,0.0008509674,0.0004145356,0.001449274,0.008444154,0.00614145,0.001727464,0.005805922,0.1009285],"category_scores_gemma":[0.007591867,0.0004322514,0.0008113114,0.001028682,0.003002879,0.004572063,0.004430416,0.008493584,0.03444475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006335163,"about_ca_system_score_gemma":0.006645452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02893854,"about_ca_topic_score_gemma":0.04384637,"domain_scores_codex":[0.9971794,0.0006742399,0.0001585918,0.0004459066,0.0009673277,0.0005746294],"domain_scores_gemma":[0.997062,0.0005029995,0.000117496,0.0003347171,0.001511518,0.0004711404],"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":[0.00005985623,0.00007227651,0.0006058504,0.0002166257,0.00001006532,0.001005317,0.005057312,0.0001436584,0.0008109448,0.1523364,0.78726,0.05242165],"study_design_scores_gemma":[0.000001227432,0.000006849645,0.0002033133,0.0000532297,0.000001164933,0.00009402633,0.0003621686,0.00001149217,0.00008794343,0.001544982,0.997629,0.000004575881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007942282,0.0198457,0.005268888,0.1839266,0.1100503,0.0002697954,0.0008794453,0.000432991,0.6713839],"genre_scores_gemma":[0.01912992,0.003722858,0.001159666,0.02085182,0.006492789,0.0001007919,0.0003558028,0.0002347478,0.9479516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1009285,"threshold_uncertainty_score":0.3376395,"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."}}