{"id":"W4407072571","doi":"10.2196/60169","title":"Education and Symptom Reporting in an mHealth App for Patients With Cancer: Mixed Methods Development and Validation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Rating scale; Mars Exploration Program; Scale (ratio); Quality (philosophy); Psychology; Medicine; Computer science; World Wide Web; Geography; Cartography; Astrobiology","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":[0.05275552,0.0009480642,0.0008730141,0.001445074,0.001580865,0.002429102,0.001363897,0.001202717,0.002255664],"category_scores_gemma":[0.08023351,0.0007311162,0.00269733,0.0007829044,0.001374354,0.001483939,0.002254854,0.001615457,0.0005551095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002333954,"about_ca_system_score_gemma":0.006068021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002637113,"about_ca_topic_score_gemma":0.004981528,"domain_scores_codex":[0.9734054,0.01661888,0.002739028,0.001563723,0.004705514,0.0009675859],"domain_scores_gemma":[0.9021201,0.06439684,0.006261616,0.005021329,0.02080438,0.001395844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.009175237,0.05969825,0.2555336,0.01166883,0.00228152,0.001150895,0.1114406,0.001603323,0.005952861,0.002530992,0.00791594,0.5310479],"study_design_scores_gemma":[0.01343706,0.1397814,0.5858151,0.01569843,0.006677073,0.002943514,0.09275154,0.02069286,0.02772289,0.004774985,0.0884577,0.00124753],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586524,0.0009263436,0.01043666,0.0004793604,0.0001243592,0.02542964,0.0006829377,0.00009791815,0.003170496],"genre_scores_gemma":[0.8511346,0.001510856,0.06624898,0.001607965,0.0001275835,0.07544839,0.001081276,0.0001176855,0.002722752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05275552,"threshold_uncertainty_score":0.2790012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08816803586673648,"score_gpt":0.5473774202177085,"score_spread":0.459209384350972,"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."}}