{"id":"W4220753358","doi":"10.2196/35879","title":"Nutrition-Related Mobile Apps in the French App Stores: Assessment of Functionality and Quality","year":2022,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"App store; mHealth; Intraclass correlation; Mobile apps; Medicine; Inter-rater reliability; Gerontology; Rating scale; Psychology; Computer science; Psychological intervention; World Wide Web; Clinical psychology; Nursing; Psychometrics","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":[0.007138272,0.00057016,0.000579639,0.006501836,0.0005043912,0.001849561,0.0004702763,0.0005280506,0.001837978],"category_scores_gemma":[0.02065722,0.0002147458,0.001361525,0.002417625,0.0004794494,0.001395009,0.001136949,0.0003885549,0.0005563442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575501,"about_ca_system_score_gemma":0.001654288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02072474,"about_ca_topic_score_gemma":0.03098493,"domain_scores_codex":[0.9964809,0.0009527642,0.0005931077,0.0003006245,0.001373519,0.0002990941],"domain_scores_gemma":[0.9729127,0.008741199,0.006533702,0.0006188905,0.0104831,0.0007103719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000905037,0.0002627793,0.8700288,0.001650721,0.000387358,0.000518338,0.006356188,0.0002296369,0.001574078,0.0001655372,0.003431695,0.1144897],"study_design_scores_gemma":[0.00003271556,0.0007850133,0.9872306,0.0005477931,0.0002281619,0.0004992581,0.002631247,0.000764332,0.0007479221,0.00006993918,0.006412939,0.0000501692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9885836,0.002943114,0.000836778,0.000290614,0.00002551572,0.0006686443,0.003262615,0.0000971771,0.00329197],"genre_scores_gemma":[0.9886507,0.00191089,0.004419189,0.0001742219,0.00004174775,0.000655748,0.002896429,0.00002861043,0.001222498],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02072474,"threshold_uncertainty_score":0.04120821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.220090663862037,"score_gpt":0.5567650382489099,"score_spread":0.3366743743868729,"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."}}