{"id":"W4412030889","doi":"10.1109/cbms65348.2025.00092","title":"Generative-Ai Solutions for Connecting Seniors and Healthcare Providers","year":2025,"lang":"en","type":"article","venue":"","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Generative grammar; Computer science; Health care; Human–computer interaction; Artificial intelligence","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":[0.003153155,0.001279992,0.000309807,0.00101243,0.001336748,0.00256324,0.003154383,0.002088112,0.01132799],"category_scores_gemma":[0.01054327,0.000621304,0.0009219064,0.0005287255,0.00163644,0.002766935,0.006501241,0.002222124,0.002837578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009577018,"about_ca_system_score_gemma":0.002086039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002643747,"about_ca_topic_score_gemma":0.004728459,"domain_scores_codex":[0.9975025,0.001223655,0.0001464999,0.0004559326,0.0005154408,0.000155877],"domain_scores_gemma":[0.9934989,0.004317488,0.0003459954,0.0008567031,0.0005312139,0.0004497605],"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":[0.0008565112,0.001382004,0.009200516,0.002612181,0.0003219593,0.002678948,0.02652609,0.08282065,0.09352291,0.1474805,0.04275242,0.5898453],"study_design_scores_gemma":[0.0001757304,0.0004907966,0.002078551,0.0004227422,0.0001488868,0.0009403244,0.004872337,0.517255,0.0241473,0.2383357,0.2109517,0.0001809543],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01071241,0.0002626462,0.9684199,0.001565216,0.0001477592,0.0004744515,0.0002503218,0.007266976,0.01090034],"genre_scores_gemma":[0.3213276,0.0004836021,0.6546555,0.001992118,0.0001495031,0.001292754,0.00152403,0.000986615,0.01758829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01132799,"threshold_uncertainty_score":0.03789586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05856248875405231,"score_gpt":0.485172241763136,"score_spread":0.4266097530090837,"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."}}