{"id":"W3210062133","doi":"10.2196/27037","title":"Mobile Health Apps That Act as Surgical Preparatory Guides: App Store Search and Quality Evaluation","year":2021,"lang":"en","type":"article","venue":"JMIR Perioperative Medicine","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Health care; mHealth; Quality (philosophy); Credibility; Personalization; Computer science; Psychological intervention; World Wide Web; Nursing","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05838156,0.0006794041,0.001443473,0.01078766,0.00104674,0.003325681,0.001012109,0.0008344861,0.001902141],"category_scores_gemma":[0.1569995,0.0004684852,0.002257159,0.006266908,0.0009927535,0.003209281,0.002975209,0.0008024964,0.0006431254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002834386,"about_ca_system_score_gemma":0.005530295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004280318,"about_ca_topic_score_gemma":0.008087278,"domain_scores_codex":[0.9584634,0.01627849,0.01009154,0.001465275,0.01250494,0.00119629],"domain_scores_gemma":[0.7412755,0.1343653,0.04406081,0.005955151,0.07072205,0.003621216],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006556408,0.003146651,0.5878529,0.01140802,0.001122666,0.0003914975,0.01655242,0.001110867,0.002031639,0.0009062467,0.008345389,0.3605753],"study_design_scores_gemma":[0.0008900734,0.01328604,0.9220062,0.005023628,0.002116369,0.001152554,0.01590963,0.01236359,0.007426027,0.0008935012,0.01850524,0.0004270796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592412,0.004025959,0.007806558,0.00106411,0.0000787497,0.01634639,0.005682025,0.0003922372,0.005362801],"genre_scores_gemma":[0.9258289,0.002590768,0.05069305,0.0004157285,0.00008931648,0.01421411,0.004505937,0.0001083033,0.001554022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9416184,"threshold_uncertainty_score":0.3087549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2123735084342575,"score_gpt":0.586035282927626,"score_spread":0.3736617744933685,"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."}}