{"id":"W4406045113","doi":"10.2196/64550","title":"Reviewing Mobile Apps for Teaching Human Anatomy: Search and Quality Evaluation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Quality (philosophy); Computer science; Multimedia; World Wide Web","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":[0.09499542,0.0009848474,0.004414223,0.02008014,0.001598597,0.002664593,0.001845722,0.001367217,0.001797386],"category_scores_gemma":[0.2603553,0.0008750382,0.00578075,0.01449175,0.002042768,0.003487061,0.003530242,0.0008141746,0.0004481919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004662927,"about_ca_system_score_gemma":0.01450728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003411143,"about_ca_topic_score_gemma":0.009827462,"domain_scores_codex":[0.8946745,0.03724523,0.03846575,0.004036682,0.02435024,0.001227522],"domain_scores_gemma":[0.6283666,0.2156786,0.0691928,0.008498187,0.07510535,0.003158421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004698179,0.001067702,0.2785816,0.2931708,0.01013553,0.001390112,0.02345929,0.0006180698,0.002512812,0.001262983,0.007596408,0.3755065],"study_design_scores_gemma":[0.004127842,0.01565973,0.5424788,0.2610196,0.05869978,0.00560102,0.02542325,0.004197395,0.006003181,0.001866815,0.07417813,0.0007443446],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6613549,0.2563429,0.01417549,0.003172401,0.0005774722,0.04803194,0.008480739,0.0002910587,0.007573112],"genre_scores_gemma":[0.8572633,0.06001274,0.03096457,0.002077599,0.0003485485,0.0439397,0.004044282,0.0001274342,0.001221858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09499542,"threshold_uncertainty_score":0.5023898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03419072018991608,"score_gpt":0.4739240933378933,"score_spread":0.4397333731479772,"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."}}