{"id":"W4415500524","doi":"10.2196/75081","title":"A Novel Primary Care Planning Informatics Tool Informed by Data-Driven Multimorbidity Grouping: User-Centered Design and Feasibility Testing","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality; U.S. Department of Veterans Affairs","keywords":"Primary care; Informatics; Multimorbidity; Health informatics; Patient care; Process (computing); Primary health care","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":[0.02759095,0.0009298388,0.0005243251,0.0009508957,0.0006269612,0.00136609,0.001681992,0.0008523648,0.004208954],"category_scores_gemma":[0.04383965,0.0008889655,0.0009215311,0.000515259,0.0009353997,0.001202947,0.001972874,0.0008287193,0.0004546749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008927214,"about_ca_system_score_gemma":0.002383425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007477151,"about_ca_topic_score_gemma":0.001159627,"domain_scores_codex":[0.9857906,0.01089613,0.0008752401,0.0009207432,0.001020972,0.0004962967],"domain_scores_gemma":[0.9415595,0.04715868,0.001491682,0.003551282,0.005093884,0.001144921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.01356405,0.01991221,0.08826924,0.006588633,0.0004981112,0.001928414,0.06226996,0.02008158,0.05927914,0.005767579,0.006248171,0.715593],"study_design_scores_gemma":[0.02180504,0.190015,0.2442128,0.002693121,0.002223343,0.002970415,0.04240526,0.2496082,0.1362077,0.01530393,0.09128009,0.001274958],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7280388,0.0001156848,0.231833,0.0002394667,0.00007805942,0.03462906,0.0008210131,0.001964167,0.002280665],"genre_scores_gemma":[0.412114,0.00007787731,0.5538025,0.0001711572,0.00002124982,0.03229874,0.0004589438,0.000163914,0.0008915485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02759095,"threshold_uncertainty_score":0.1459166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3290467734188794,"score_gpt":0.4825985447451741,"score_spread":0.1535517713262947,"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."}}