{"id":"W3189807129","doi":"10.2196/27452","title":"Designing Consumer Health Information Technology to Support Biform and Articulation Work: A Qualitative Study of Diet and Nutrition Management as Patient Work","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Virginia","keywords":"Work (physics); Qualitative research; Self-management; Articulation (sociology); Nutrigenomics; Health management system; Nutrition Education; Psychology; Medicine; Gerontology; Knowledge management; Applied psychology; Computer science; Engineering; Sociology; Alternative medicine; Pathology","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":[0.02228751,0.0006492191,0.0007512874,0.001565102,0.01005945,0.004618696,0.001770649,0.002112036,0.003538406],"category_scores_gemma":[0.02672012,0.0007439241,0.0005452473,0.001381371,0.0112402,0.005243869,0.006562456,0.003167159,0.0004412513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005983239,"about_ca_system_score_gemma":0.005546794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004344213,"about_ca_topic_score_gemma":0.006612482,"domain_scores_codex":[0.9748308,0.0213573,0.0004885742,0.0007313584,0.0009982112,0.001593726],"domain_scores_gemma":[0.9641241,0.03012591,0.001501543,0.0008409852,0.001285426,0.002121912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002499181,0.0000633623,0.001485477,0.0001192885,0.000003108267,0.0003466497,0.9923418,0.00002124913,0.0004645226,0.0008870801,0.0003642089,0.003878361],"study_design_scores_gemma":[0.00001066923,0.00008936884,0.0008797861,0.000153766,0.000004862749,0.0001724459,0.9897006,0.0001220835,0.0003109125,0.0003736551,0.008167797,0.00001412185],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978087,0.0007237477,0.007446426,0.004528811,0.0001151683,0.0006372288,0.0001380555,0.00005204834,0.008271518],"genre_scores_gemma":[0.9914181,0.0005028837,0.00369375,0.001392813,0.00002625461,0.0005555355,0.00004584154,0.00004349023,0.002321291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02228751,"threshold_uncertainty_score":0.117869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0635938846604337,"score_gpt":0.4652232538811577,"score_spread":0.401629369220724,"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."}}