{"id":"W3167670105","doi":"10.7202/1078008ar","title":"Retraite du milieu agricole : enjeux individuels, familiaux et sociaux","year":2021,"lang":"fr","type":"article","venue":"Enfances Familles Générations","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002708416,0.000304584,0.0003106475,0.0008949481,0.006451625,0.003144499,0.000792601,0.0006231848,0.004592416],"category_scores_gemma":[0.003590769,0.0001912534,0.000185568,0.001017354,0.003796374,0.001297679,0.002291598,0.00107233,0.0002394918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007532415,"about_ca_system_score_gemma":0.01040645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4406544,"about_ca_topic_score_gemma":0.5987871,"domain_scores_codex":[0.9984481,0.0007725491,0.00003273577,0.0001918058,0.0002456141,0.0003091276],"domain_scores_gemma":[0.997878,0.0006386512,0.0004343575,0.00009760958,0.0004591862,0.0004922981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00010857,0.0002105122,0.4878626,0.0002319286,0.0000684401,0.001363034,0.4235625,0.0003076475,0.001712233,0.007341586,0.003062386,0.07416847],"study_design_scores_gemma":[0.000007133765,0.0001323173,0.6155227,0.0003302953,0.00003600502,0.0002880057,0.354315,0.000281045,0.0002978459,0.001911505,0.02684425,0.00003393978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808895,0.0009463505,0.0005626184,0.00306835,0.00005130337,0.00003281196,0.00006881964,0.000006331101,0.01437385],"genre_scores_gemma":[0.9954869,0.0004706005,0.0002776919,0.0003073772,0.00001094563,0.00002604998,0.0000354472,0.000002965525,0.003382064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4406544,"threshold_uncertainty_score":0.876179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05738341724017398,"score_gpt":0.3543501710550648,"score_spread":0.2969667538148908,"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."}}