{"id":"W3138912743","doi":"10.2196/23304","title":"A Modular Mobile Health App for Personalized Rehabilitation Throughout the Breast Cancer Care Continuum: Development Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Cancer survivorship and care","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"mHealth; Breast cancer; Computer science; Modular design; Personalized medicine; Health care; Multimedia; World Wide Web; Rehabilitation; Medicine; Cancer; Physical therapy; Bioinformatics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002761965,0.0004783424,0.0002991197,0.0008171467,0.0003688619,0.000756244,0.0006956288,0.000613372,0.00310352],"category_scores_gemma":[0.008109912,0.000263557,0.0005083811,0.0002948747,0.0003576777,0.001104038,0.0009580841,0.0005179225,0.0009520634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004186847,"about_ca_system_score_gemma":0.001513008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008951396,"about_ca_topic_score_gemma":0.001542513,"domain_scores_codex":[0.9989542,0.0004421109,0.00008791038,0.0001221807,0.0002825126,0.0001112078],"domain_scores_gemma":[0.9960847,0.00223777,0.0002220803,0.0001638774,0.0009842643,0.0003073225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00161596,0.01228186,0.0751423,0.00632302,0.0001804798,0.003787794,0.01518675,0.001500371,0.01830006,0.002776492,0.02653632,0.8363686],"study_design_scores_gemma":[0.003919402,0.05791985,0.4398603,0.008189391,0.00232951,0.02174578,0.02423895,0.04271573,0.0588295,0.004799331,0.334707,0.0007451871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9448215,0.001116749,0.02736236,0.0006902415,0.0001429911,0.01315905,0.001233106,0.0009523983,0.01052155],"genre_scores_gemma":[0.766887,0.002376962,0.2028644,0.001185001,0.00008772501,0.01485146,0.002131519,0.0002567242,0.009359173],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00310352,"threshold_uncertainty_score":0.01460683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0495150684151364,"score_gpt":0.4667318329547528,"score_spread":0.4172167645396164,"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."}}