{"id":"W4416865505","doi":"10.2196/71203","title":"Mobile Apps for Oncology Health Care Professionals: Mapping and Assessment Study","year":2025,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Mobile apps; Digital health; Health care; Quality (philosophy); Mobile technology; Mobile device; MEDLINE","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":[0.03921061,0.000874756,0.002937223,0.01872056,0.001348148,0.003270375,0.001455443,0.001390323,0.003176038],"category_scores_gemma":[0.1426349,0.000956993,0.006674518,0.0146383,0.001287075,0.004295595,0.005286595,0.001329983,0.000677162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003541681,"about_ca_system_score_gemma":0.01371229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003848637,"about_ca_topic_score_gemma":0.006688513,"domain_scores_codex":[0.9671457,0.01345413,0.009845857,0.001896503,0.006663959,0.0009938558],"domain_scores_gemma":[0.8705851,0.08591376,0.01824987,0.003299798,0.02070026,0.001251243],"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":[0.001789615,0.001468343,0.1452944,0.2382216,0.004983937,0.001245226,0.0482832,0.0008728058,0.0006778419,0.002107257,0.006460661,0.5485951],"study_design_scores_gemma":[0.00419828,0.01228388,0.4190053,0.3289522,0.03665703,0.005511616,0.09167685,0.00654997,0.00286256,0.004788908,0.08670802,0.0008054027],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.750097,0.1226981,0.01657683,0.002817879,0.0002587612,0.08119182,0.01219313,0.0003001484,0.01386624],"genre_scores_gemma":[0.8377854,0.05335544,0.0334984,0.001166804,0.0001283843,0.06991056,0.003238579,0.00005549502,0.0008610801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03921061,"threshold_uncertainty_score":0.207368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1083874156435258,"score_gpt":0.5732422036019936,"score_spread":0.4648547879584679,"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."}}