{"id":"W4304609178","doi":"10.2196/36818","title":"Separating Features From Functionality in Vaccination Apps: Computational Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Usability; Readability; Health information exchange; Descriptive statistics; World Wide Web; Internet privacy; Health care; Human–computer interaction; Health information","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":[0.005792934,0.001025831,0.001129341,0.007676397,0.001205251,0.003809811,0.001175609,0.0009486037,0.002927657],"category_scores_gemma":[0.06080908,0.0005664236,0.004169057,0.005854541,0.001494374,0.002646581,0.002352596,0.001584113,0.0008192179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003673392,"about_ca_system_score_gemma":0.003820745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02785834,"about_ca_topic_score_gemma":0.01757996,"domain_scores_codex":[0.9951746,0.002136315,0.0004970209,0.0007815203,0.001078969,0.0003316078],"domain_scores_gemma":[0.945941,0.0479156,0.001720025,0.001329244,0.002757699,0.0003364291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001161215,0.001417775,0.5975344,0.003596414,0.0008047126,0.0008403524,0.01171565,0.0508514,0.003553869,0.0186365,0.009930125,0.2999576],"study_design_scores_gemma":[0.0001281794,0.0003859169,0.2158446,0.0005598474,0.0004464395,0.0004580287,0.006178089,0.7444783,0.002014242,0.02150781,0.007832997,0.0001654836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8422186,0.0007701102,0.1383369,0.001560274,0.00007035682,0.002860723,0.007276566,0.0007638396,0.006142616],"genre_scores_gemma":[0.8586605,0.0003127279,0.130619,0.00008857059,0.00002053721,0.002131298,0.007029105,0.00007116154,0.001067145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02785834,"threshold_uncertainty_score":0.05539238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1241156598993936,"score_gpt":0.5612127537580796,"score_spread":0.4370970938586859,"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."}}