{"id":"W2626508017","doi":"10.7202/1034993ar","title":"Du côté des retraités et des travailleurs âgés en lutte","year":2016,"lang":"fr","type":"article","venue":"International Review of Community Development","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005688251,0.0003187954,0.0006615569,0.0001288353,0.0009721082,0.00002052023,0.001147191,0.0002575173,0.003636091],"category_scores_gemma":[0.004230456,0.0002510735,0.0002157298,0.0001982389,0.0007175213,0.000370863,0.0005907516,0.001037356,0.0004560387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073753,"about_ca_system_score_gemma":0.0009053436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00168786,"about_ca_topic_score_gemma":0.002045532,"domain_scores_codex":[0.9923535,0.004979094,0.001340101,0.0001719484,0.0006952959,0.0004600776],"domain_scores_gemma":[0.9950874,0.002308805,0.0005896355,0.0004393044,0.001372074,0.0002027546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000264091,0.0004202288,0.01297464,0.01145659,0.000423515,0.000007945072,0.1821926,1.962337e-7,0.00004945988,0.01547367,0.02675398,0.7502208],"study_design_scores_gemma":[0.0006916123,0.00007435241,0.2790154,0.10212,0.00007666047,0.00001286937,0.01663441,0.000001014391,0.0002404299,0.01204606,0.5887069,0.0003803371],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7479521,0.1152807,0.002950719,0.05438635,0.003046619,0.0009729398,0.0001425174,0.00009093932,0.0751771],"genre_scores_gemma":[0.5671709,0.3881674,0.006716572,0.01046813,0.0002922149,0.000101848,0.00009426499,0.00005394215,0.02693465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7498404,"threshold_uncertainty_score":0.9999942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09445612750926419,"score_gpt":0.4258468360446268,"score_spread":0.3313907085353626,"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."}}