{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001005013,0.0001535262,0.000532227,0.000374124,0.0002585789,0.0000180993,0.00005464445,0.00005383424,0.00001591019],"category_scores_gemma":[0.0006488764,0.0001097909,0.00003814842,0.0002534369,0.0001099564,0.0001070948,0.00003939788,0.0004164992,9.885582e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002740161,"about_ca_system_score_gemma":0.0006422311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001663514,"about_ca_topic_score_gemma":0.0004318743,"domain_scores_codex":[0.9982654,0.0001870299,0.0007809272,0.0002150426,0.0002649906,0.0002866454],"domain_scores_gemma":[0.9981218,0.0001739703,0.0002392777,0.000174479,0.0007050184,0.0005854607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000397785,0.0003420741,0.3841243,0.0003664333,0.0001608272,0.0005226395,0.2877878,0.00001388032,0.0002408659,0.00002167866,0.005375512,0.3206463],"study_design_scores_gemma":[0.001850433,0.008877741,0.06275369,0.001270158,0.0004565325,0.0007049859,0.9185805,0.0001602021,0.0011056,0.0001431702,0.003920838,0.0001761739],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476142,0.002404247,0.0001714168,0.04834848,0.0009087205,0.000507833,0.000002314643,0.000009329033,0.00003344489],"genre_scores_gemma":[0.9950052,0.0001679849,0.00004770485,0.004390823,0.0003173324,0.0000101246,0.000001175659,0.00001207608,0.0000475978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6307927,"threshold_uncertainty_score":0.4477144,"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."}}