{"id":"W4416209302","doi":"10.2196/69790","title":"Patients and Caregivers Leveraging AI to Improve Their Health Care Journey: Case Study and Lessons Learned","year":2025,"lang":"en","type":"article","venue":"Journal of Participatory Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical diagnosis; Health care; Perspective (graphical); Generative grammar; Process (computing); Test (biology); Medical record","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003276553,0.0007605289,0.0004913189,0.0007522463,0.01068612,0.003002194,0.001521255,0.004437025,0.00294768],"category_scores_gemma":[0.01529747,0.0004728995,0.0005957437,0.001199479,0.002893148,0.003058214,0.003504441,0.00625182,0.0006156898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003395024,"about_ca_system_score_gemma":0.003298532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004329705,"about_ca_topic_score_gemma":0.01213749,"domain_scores_codex":[0.9967371,0.002036913,0.0001916874,0.0001892387,0.0002922117,0.000552959],"domain_scores_gemma":[0.9937977,0.003153916,0.0007910086,0.0002303535,0.0005338338,0.001493087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0001149291,0.0008311277,0.03352188,0.000705812,0.00004355568,0.440953,0.4115557,0.0005315817,0.0005326911,0.009398973,0.04017979,0.06163085],"study_design_scores_gemma":[0.00003092469,0.0003277548,0.006529052,0.001145654,0.00004077289,0.3475167,0.5369093,0.0009632709,0.0007246574,0.00519806,0.1004978,0.0001159538],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8853827,0.01248476,0.005559608,0.06422376,0.001012291,0.0003955966,0.0002113555,0.0001449062,0.0305851],"genre_scores_gemma":[0.9752496,0.006719685,0.005506726,0.006911358,0.0004915308,0.000220668,0.00009283389,0.00005323437,0.00475434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01068612,"threshold_uncertainty_score":0.02463269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3243309509341959,"score_gpt":0.5292686367543197,"score_spread":0.2049376858201238,"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."}}