{"id":"W4405015062","doi":"10.2196/62711","title":"Design and Use of Patient-Facing Electronic Patient-Reported Outcomes and Sensor Data Visualizations During Outpatient Chemotherapy","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Preprint; Medicine; Patient data; Computer science; Internet privacy; World Wide Web","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":[0.002357842,0.0004740873,0.0002293973,0.0003434599,0.0003395197,0.00114389,0.0005559214,0.0003973006,0.002791411],"category_scores_gemma":[0.01014677,0.0002304832,0.0003089784,0.0001954414,0.0002758398,0.0006352233,0.0008191695,0.0003860607,0.0003853687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002799109,"about_ca_system_score_gemma":0.0005504469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003912096,"about_ca_topic_score_gemma":0.001039336,"domain_scores_codex":[0.9984768,0.0009858408,0.0001065022,0.0001425429,0.0001964982,0.0000918101],"domain_scores_gemma":[0.9940567,0.003888329,0.0006888029,0.0004494378,0.0004945101,0.0004221443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00652485,0.00642773,0.2559114,0.002081594,0.0002160835,0.0015168,0.03234227,0.004551946,0.08790585,0.00164356,0.007177636,0.5937002],"study_design_scores_gemma":[0.001891579,0.02927823,0.7003235,0.0009513625,0.001031645,0.006182472,0.02276102,0.05287636,0.1203112,0.00225774,0.06158394,0.0005509436],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540291,0.0002427619,0.03855499,0.0004763437,0.00005835311,0.0006912135,0.0004895795,0.001575906,0.00388185],"genre_scores_gemma":[0.9481864,0.0001722073,0.04906097,0.0001448266,0.00002679511,0.0007118671,0.0003230898,0.0001114055,0.001262504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002791411,"threshold_uncertainty_score":0.01246959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.038363878122738,"score_gpt":0.336874802186862,"score_spread":0.298510924064124,"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."}}