{"id":"W4385432289","doi":"10.2196/49096","title":"Digital Phenotyping for Monitoring and Disease Trajectory Prediction of Patients With Cancer: Protocol for a Prospective Observational Cohort Study","year":2023,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Cancer survivorship and care","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lietuvos Mokslo Taryba","keywords":"Medicine; Anxiety; Quality of life (healthcare); Observational study; mHealth; Physical therapy; Wearable computer; Wearable technology; Duration (music); Global Positioning System; Disease; Computer science; Internal medicine; Psychiatry; Nursing; Telecommunications; Psychological intervention","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":[0.02143699,0.002862767,0.003232857,0.001788355,0.002919959,0.00159618,0.001908297,0.002668747,0.02087529],"category_scores_gemma":[0.01561277,0.001701248,0.002903776,0.002659672,0.001200876,0.001526549,0.001929005,0.002851502,0.005528282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00379773,"about_ca_system_score_gemma":0.0128808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006301655,"about_ca_topic_score_gemma":0.006135905,"domain_scores_codex":[0.9905083,0.005322995,0.001584896,0.0009694427,0.0009020886,0.0007122788],"domain_scores_gemma":[0.9898576,0.001528313,0.001846738,0.00188097,0.003754277,0.001132185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.4714278,0.04990753,0.1070729,0.0369413,0.006398376,0.002141894,0.002821173,0.01540195,0.008446964,0.007814374,0.1350809,0.1565448],"study_design_scores_gemma":[0.3354784,0.09808696,0.3006426,0.0122846,0.003565683,0.00097573,0.002422962,0.01259655,0.003754891,0.007350776,0.2219027,0.000938047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.008025621,0.0002903576,0.004791426,0.0002391019,0.000190938,0.9766381,0.008674637,0.0000804594,0.001069429],"genre_scores_gemma":[0.0039328,0.00009152812,0.002694693,0.00009849077,0.00002292545,0.9916741,0.001235638,0.000004426548,0.0002454049],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.02143699,"threshold_uncertainty_score":0.113371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2193215148069245,"score_gpt":0.5034638325896276,"score_spread":0.284142317782703,"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."}}