{"id":"W3132141630","doi":"10.3917/rs1.084.0122","title":"Les Québécois-e-s d’origine maghrébine de Montréal face à leur retraite : maktoub et planification","year":2021,"lang":"fr","type":"article","venue":"Retraite et société","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Political science; Humanities; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001517846,0.0004351629,0.0005306253,0.00008807347,0.0008948338,0.0002387687,0.0003209024,0.000497693,0.001265536],"category_scores_gemma":[0.0004848365,0.0004830344,0.0003255404,0.0008266154,0.000429779,0.0005287214,0.0000882756,0.0007677905,0.0001441699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005617147,"about_ca_system_score_gemma":0.0009220701,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2422777,"about_ca_topic_score_gemma":0.4904605,"domain_scores_codex":[0.9960397,0.001044103,0.0006059853,0.0007057791,0.000773138,0.0008313211],"domain_scores_gemma":[0.9981088,0.0005035131,0.0003525921,0.0003911045,0.0003716799,0.0002722972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003088249,0.0003068562,0.00522862,0.0002003531,0.0002888157,0.0001120336,0.6472759,0.0001482697,0.000655045,0.2360412,0.05700165,0.05271041],"study_design_scores_gemma":[0.000661719,0.00007423211,0.1286637,0.0001819054,0.0002173564,0.00003309855,0.02295715,0.0006018876,0.0002870775,0.006338552,0.8393169,0.0006664074],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.655749,0.0955648,0.01183311,0.1466255,0.003606846,0.0006555099,0.0004770291,0.0004587569,0.08502948],"genre_scores_gemma":[0.8054806,0.0348436,0.002748612,0.002098611,0.001684549,0.0000306124,0.0001884619,0.00006870197,0.1528562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7823153,"threshold_uncertainty_score":0.9997621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03480951522667788,"score_gpt":0.3365543893902457,"score_spread":0.3017448741635678,"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."}}