{"id":"W2806552934","doi":"10.2196/formative.9963","title":"Improving Transitions of Care for Young Adults With Congenital Heart Disease: Mobile App Development Using Formative Research","year":2018,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Adolescent and Pediatric Healthcare","field":"Health Professions","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Formative assessment; Adult care; Socioeconomic status; Transition (genetics); Medicine; Psychology; Gerontology; Young adult; Family medicine; Pediatrics; Population; Pedagogy","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003076255,0.0002315076,0.0004094309,0.0007382184,0.004807469,0.00003022576,0.0003344996,0.0002274518,0.0001053262],"category_scores_gemma":[0.0001823539,0.0001843018,0.00008494833,0.001227752,0.0006966172,0.0006875674,0.0002480914,0.001552069,0.0001253101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008597666,"about_ca_system_score_gemma":0.004247449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000371613,"about_ca_topic_score_gemma":0.0009789133,"domain_scores_codex":[0.9940795,0.001384651,0.0008448702,0.0003964626,0.001546361,0.001748112],"domain_scores_gemma":[0.9905971,0.001003992,0.0001981355,0.0003877945,0.007258897,0.0005540401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.006165012,0.0003885911,0.01400392,0.0143546,0.000084329,0.000005398581,0.9483556,0.000005894977,0.0002735594,0.000595368,0.007173315,0.008594437],"study_design_scores_gemma":[0.007630175,0.00618091,0.04040038,0.004364453,0.00004340069,0.000006366166,0.9050722,0.005986698,0.001454092,0.0002695292,0.02778631,0.0008055307],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828531,0.0005570715,0.004353085,0.0002960055,0.0002214602,0.009489785,0.0007586717,0.000074366,0.001396491],"genre_scores_gemma":[0.9936705,0.00001836563,0.001942161,0.00004228546,0.000539574,0.003276393,0.0002366466,0.00004992786,0.0002242029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04328342,"threshold_uncertainty_score":0.9964882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1228461113883694,"score_gpt":0.5102532193487783,"score_spread":0.3874071079604089,"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."}}