{"id":"W7143516230","doi":"10.70675/817044cfz34cfz4870zb6bbz6f2f1245e849","title":"Vieillissement et temporalités sociales : une comparaison France – Québec","year":2012,"lang":"","type":"dissertation","venue":"","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Order (exchange); Perspective (graphical)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001354181,0.000255451,0.0004138975,0.003234057,0.005215641,0.003868897,0.0008318314,0.0006281171,0.0113776],"category_scores_gemma":[0.003321632,0.0001630693,0.0003011275,0.00689872,0.001853212,0.001665886,0.001460063,0.0009317127,0.0003560226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04814162,"about_ca_system_score_gemma":0.02513911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9893987,"about_ca_topic_score_gemma":0.9950171,"domain_scores_codex":[0.9988944,0.0002826819,0.00004565479,0.0001575584,0.0003304949,0.000289319],"domain_scores_gemma":[0.996829,0.0006457261,0.0002900203,0.00009930732,0.001750485,0.0003853689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004796636,0.0001963274,0.3934628,0.0006925829,0.0003935308,0.001550671,0.2992469,0.002868394,0.002127829,0.08541661,0.02847974,0.185085],"study_design_scores_gemma":[0.00001525738,0.00006787214,0.7131974,0.0004956506,0.0001130699,0.0001327785,0.1424245,0.001292113,0.0003181272,0.001346227,0.1405078,0.00008929575],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9160302,0.005096926,0.001769095,0.005427563,0.0001016652,0.00006489694,0.002755764,0.00004634411,0.0687076],"genre_scores_gemma":[0.9788714,0.001455774,0.0007027402,0.0003406491,0.00001638929,0.00003980061,0.0006606427,0.00002951432,0.01788304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04814162,"threshold_uncertainty_score":0.3492935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1175634479709369,"score_gpt":0.45930693773928,"score_spread":0.3417434897683431,"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."}}