{"id":"W4413358459","doi":"10.5334/ijic.nacic24164","title":"Weaving Networks: How University Health Network’s NIC is supporting aging adults to create helping communities","year":2025,"lang":"en","type":"article","venue":"International Journal of Integrated Care","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Weaving; Business; Public relations; Sociology; Knowledge management; Gerontology; Medicine; Computer science; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01438425,0.001142463,0.0003864254,0.001959637,0.01553755,0.01421107,0.003590883,0.006280369,0.02210808],"category_scores_gemma":[0.01939896,0.0006875854,0.001245349,0.001180911,0.005003226,0.01886387,0.02279594,0.009610696,0.004299527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007388179,"about_ca_system_score_gemma":0.02370925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0185931,"about_ca_topic_score_gemma":0.0556976,"domain_scores_codex":[0.9869183,0.008286696,0.0002771472,0.0007877726,0.001853881,0.001876162],"domain_scores_gemma":[0.9822069,0.003052173,0.000406692,0.0008585398,0.002088544,0.0113872],"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":[0.00009273116,0.0005739895,0.004910863,0.0005921093,0.00006373259,0.001440495,0.04131038,0.0007196729,0.0006264815,0.04293973,0.5253281,0.3814018],"study_design_scores_gemma":[0.00003696364,0.0003566006,0.001350655,0.001177386,0.00004751152,0.0006688398,0.03690178,0.0007719774,0.0004557847,0.01798158,0.9401535,0.00009739291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03832772,0.01076808,0.02492816,0.6566612,0.02718824,0.001109917,0.0002973246,0.001977714,0.2387416],"genre_scores_gemma":[0.4286194,0.0244977,0.08503754,0.2101225,0.007416946,0.001944533,0.0006147785,0.001565747,0.2401809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02210808,"threshold_uncertainty_score":0.0760721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005966688717882384,"score_gpt":0.2375223235707403,"score_spread":0.2315556348528579,"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."}}