{"id":"W4403718166","doi":"10.1111/opn.12659","title":"Things That Matter: Special Objects in Our Stories as We AgeBy William L.Randall and MatteRobinson (eds.), Toronto: University of Toronto Press, 2024. 360 pp. ISBN: 9781487524470","year":2024,"lang":"en","type":"article","venue":"International Journal of Older People Nursing","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Nursing Research; National Institutes of Health","keywords":"Media studies; Sociology; Art history; Gerontology; History; Medicine","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":[0.001436486,0.001723649,0.001114312,0.001639999,0.002309616,0.009136419,0.001369168,0.002198196,0.01557862],"category_scores_gemma":[0.002409381,0.001483208,0.0006085815,0.004256945,0.003573467,0.009043966,0.002718546,0.004143225,0.007509511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004051127,"about_ca_system_score_gemma":0.00453967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02896847,"about_ca_topic_score_gemma":0.04678784,"domain_scores_codex":[0.9990971,0.000336806,0.00005480722,0.00009701512,0.0003223289,0.00009197829],"domain_scores_gemma":[0.9985675,0.000836765,0.0001577215,0.00005024527,0.0001290822,0.000258741],"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":[0.0000427197,0.00005367211,0.0008458347,0.002956618,0.0000272004,0.0005022445,0.03378442,0.0001626817,0.0004014451,0.01059145,0.6674789,0.2831528],"study_design_scores_gemma":[0.000003064746,0.00001158308,0.001907264,0.002016745,0.00001131631,0.0006709296,0.01065688,0.00002905522,0.00007672695,0.00272314,0.9818762,0.00001702435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001861562,0.953201,0.0009218194,0.01385343,0.002605681,0.00003737376,0.0001745617,0.00008556203,0.02725902],"genre_scores_gemma":[0.01203235,0.9088442,0.001982445,0.002349764,0.001036694,0.00009102309,0.000418997,0.0001313749,0.07311316],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02896847,"threshold_uncertainty_score":0.05759972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00831484362016801,"score_gpt":0.2607147099005008,"score_spread":0.2523998662803328,"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."}}