{"id":"W4401907406","doi":"10.3390/cancers16172984","title":"Using mHealth Technology to Evaluate Daily Symptom Burden among Adult Survivors of Childhood Cancer: A Feasibility Study","year":2024,"lang":"en","type":"article","venue":"Cancers","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Alberta","funders":"National Cancer Institute","keywords":"Childhood cancer; mHealth; Medicine; Cancer; Gerontology; Data science; Psychiatry; Computer science; Internal medicine; Psychological intervention","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005725614,0.0004490121,0.0002965684,0.000815451,0.0005957386,0.0005615216,0.000355644,0.0004874107,0.0009471912],"category_scores_gemma":[0.006208328,0.0003553432,0.0006482896,0.0006304174,0.000430734,0.0009096083,0.0009242936,0.0005555745,0.0004051242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004039021,"about_ca_system_score_gemma":0.001265504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00348082,"about_ca_topic_score_gemma":0.005243916,"domain_scores_codex":[0.9975436,0.001397209,0.0002245141,0.0001673617,0.000449412,0.0002178758],"domain_scores_gemma":[0.9964653,0.00108069,0.0009353093,0.0003027189,0.0008047111,0.000411264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001392184,0.004400943,0.9728137,0.0001138024,0.0001269582,0.0001209723,0.001424756,0.0001544438,0.001119397,0.00004084072,0.0003018613,0.01799023],"study_design_scores_gemma":[0.0004343695,0.01184926,0.9838336,0.00003360486,0.0001014624,0.0003208093,0.001601973,0.0006810011,0.0004486597,0.00003308245,0.0006377195,0.00002460327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981477,0.00005449846,0.0004359247,0.0000524297,0.000003559267,0.0007255157,0.0002892362,0.000007297594,0.000283955],"genre_scores_gemma":[0.9942774,0.0001604225,0.002734267,0.0001130594,0.00001645485,0.001851876,0.000646222,0.000005761318,0.0001945138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005725614,"threshold_uncertainty_score":0.03028029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05049400986022363,"score_gpt":0.4026258138826261,"score_spread":0.3521318040224025,"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."}}