{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007097266,0.0003279962,0.0009030211,0.0001344383,0.002016109,0.00001530241,0.0001681193,0.0002806357,0.005804442],"category_scores_gemma":[0.0006103712,0.0002551243,0.00005983814,0.0005005547,0.0004100032,0.0001625011,0.000151321,0.001121853,0.0002790426],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008079118,"about_ca_system_score_gemma":0.007030017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001490544,"about_ca_topic_score_gemma":0.001223688,"domain_scores_codex":[0.9910901,0.004621021,0.001314684,0.000922492,0.001115091,0.0009366778],"domain_scores_gemma":[0.9956502,0.0008640852,0.0003182472,0.0007870095,0.001211435,0.001168975],"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":[0.001354771,0.001403329,0.1528106,0.008803523,0.0001754301,0.00007453667,0.2146914,0.00009559664,0.002536001,0.06730746,0.1261759,0.4245714],"study_design_scores_gemma":[0.004836581,0.001187936,0.03656101,0.0006254509,0.00002263081,0.00003100215,0.03895384,0.0005539822,0.00007232626,0.00008774548,0.916805,0.0002625291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8861852,0.03196001,0.0002482584,0.01607119,0.0008004548,0.02313113,0.0001049969,0.0002831125,0.04121559],"genre_scores_gemma":[0.9078754,0.007936578,0.0003724168,0.01083838,0.001389468,0.05735699,0.0007197804,0.00006122639,0.01344972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.790629,"threshold_uncertainty_score":0.9999901,"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."}}