{"id":"W3209434934","doi":"10.2196/27533","title":"Selecting and Evaluating Mobile Health Apps for the Healthy Life Trajectories Initiative: Development of the eHealth Resource Checklist","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Women's College Hospital; Hospital for Sick Children; Public Health Ontario; Institute for Clinical Evaluative Sciences; University of Toronto; SickKids Foundation","funders":"Canadian Institutes of Health Research","keywords":"eHealth; Checklist; Usability; Resource (disambiguation); Population; mHealth; Computer science; Quality (philosophy); Mobile device; Medicine; Health care; Internet privacy; World Wide Web; Nursing; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1300199,0.002447846,0.003235571,0.02126574,0.004028386,0.005240114,0.006335252,0.003099798,0.003767323],"category_scores_gemma":[0.2033104,0.001825959,0.006783622,0.008833455,0.00232605,0.008471405,0.01108856,0.005304667,0.001618115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0105782,"about_ca_system_score_gemma":0.04504001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009688911,"about_ca_topic_score_gemma":0.02479634,"domain_scores_codex":[0.8742524,0.0550198,0.05098887,0.002131366,0.01508131,0.002526331],"domain_scores_gemma":[0.7762354,0.106687,0.03017669,0.007430173,0.07474374,0.004727123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008193168,0.001837662,0.07220773,0.0609606,0.000834832,0.001048814,0.03823151,0.003885873,0.001645961,0.01457926,0.1560004,0.647948],"study_design_scores_gemma":[0.00298829,0.00330125,0.198834,0.1673473,0.002271209,0.001772444,0.06048283,0.01031919,0.006333888,0.02731807,0.5175697,0.001461852],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.114455,0.0149891,0.1428966,0.02549409,0.002290057,0.6348153,0.03306264,0.002411073,0.02958619],"genre_scores_gemma":[0.04713767,0.0046606,0.4728075,0.001944705,0.0001259985,0.4620307,0.00916958,0.0001340987,0.001989048],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1300199,"threshold_uncertainty_score":0.6876194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1501143119899127,"score_gpt":0.4973021740230802,"score_spread":0.3471878620331676,"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."}}