{"id":"W7165147484","doi":"10.2196/89918","title":"Factors Associated with Use of the LETSGO mHealth App in Routine Follow-Up After Gynecologic Cancer Treatment: An Observational Study (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Observational study; Gynecologic cancer; mHealth; Cervical cancer; Telemedicine; Cancer","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":[],"consensus_categories":[],"category_scores_codex":[0.0004586719,0.0002523457,0.0005133429,0.0001336341,0.0005425051,0.000008287868,0.0002186567,0.0002178626,0.0006412632],"category_scores_gemma":[0.0001811613,0.0001530303,0.00006815437,0.0009789196,0.00006912102,0.0001483443,0.00008646033,0.0005090747,0.000004278505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002256059,"about_ca_system_score_gemma":0.004090632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02243182,"about_ca_topic_score_gemma":0.3321854,"domain_scores_codex":[0.9968783,0.0007745052,0.0008886075,0.0005163755,0.0002794431,0.0006627478],"domain_scores_gemma":[0.9974947,0.000812455,0.0005458161,0.0006546905,0.0003030155,0.0001893526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002899885,0.0008485902,0.9906365,0.0001448534,0.0000554226,4.095224e-7,0.003006255,0.0002216038,0.000006975331,0.0003470233,0.0008770334,0.00356536],"study_design_scores_gemma":[0.003263604,0.0002174061,0.9817429,0.0003062541,0.00005173884,1.479185e-8,0.001131158,0.000132151,0.000007406789,0.00007335914,0.01296169,0.0001123737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842952,0.0002010195,0.00001184339,0.002655909,0.0005870316,0.01165039,0.0003004162,0.00007349926,0.0002246582],"genre_scores_gemma":[0.9167755,0.0001473522,0.00001419375,0.002838617,0.00005964163,0.07613594,0.00005082228,0.00002325276,0.003954743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3097536,"threshold_uncertainty_score":0.9840779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.274976737352119,"score_gpt":0.4880599777530925,"score_spread":0.2130832404009735,"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."}}