{"id":"W7043280311","doi":"","title":"Se préparer collectivement à la mort. Antoine Bédard, Mettre la mort à l’agenda. Récits de fin de vie, Montréal, Atelier 10 éditeur, 2023, 84 pages","year":2023,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Donkey; FGF21; SOCS6","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":[0.001723051,0.001695293,0.0008295327,0.002187527,0.002347866,0.00549348,0.001597337,0.00255094,0.1515157],"category_scores_gemma":[0.004860631,0.0007110555,0.0005721745,0.002443713,0.001946833,0.003658418,0.002418552,0.003082759,0.06214961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009678403,"about_ca_system_score_gemma":0.01487873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3523889,"about_ca_topic_score_gemma":0.5764728,"domain_scores_codex":[0.9984024,0.0002226671,0.00007262041,0.0001650104,0.0008917674,0.0002454862],"domain_scores_gemma":[0.9975395,0.0003353733,0.0001477306,0.00007444624,0.001191637,0.0007112933],"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":[0.000005609086,0.000003396355,0.00004091224,0.0001210921,0.000001827427,0.00001500364,0.0001236929,0.00001059905,0.0000447388,0.0006875107,0.9800197,0.01892589],"study_design_scores_gemma":[0.000002608853,0.000003247055,0.0004805431,0.000166799,0.000001713311,0.00002521537,0.0001680031,0.0000060363,0.00003391715,0.0001613057,0.9989458,0.000004882134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000590436,0.5933995,0.001072518,0.08054267,0.08758564,0.0001061727,0.001443317,0.0007713471,0.2344884],"genre_scores_gemma":[0.006061276,0.1343813,0.0008322443,0.007690278,0.01167941,0.00007421248,0.0008353635,0.0005071503,0.8379388],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6476111,"threshold_uncertainty_score":0.7006755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02159926740002992,"score_gpt":0.2969703316043438,"score_spread":0.2753710642043139,"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."}}