{"id":"W4298139508","doi":"10.1200/jco.2022.40.28_suppl.272","title":"Adaptation of remote symptom monitoring using electronic patient-reported outcomes for implementation in real-world settings.","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Institutes of Health","keywords":"Medicine; Workflow; Psychological intervention; Adaptation (eye); Intervention (counseling); Formative assessment; Medical emergency; Medical education; Process management; Nursing; Computer science","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":[0.09201762,0.0007564166,0.0005170472,0.00126731,0.0010491,0.002261722,0.002468951,0.0008767842,0.002937569],"category_scores_gemma":[0.1301201,0.0005445632,0.001575319,0.0009707258,0.001222871,0.002204475,0.003212541,0.00160195,0.0005300789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002910055,"about_ca_system_score_gemma":0.01059691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002316558,"about_ca_topic_score_gemma":0.003654779,"domain_scores_codex":[0.9459953,0.04089759,0.003959341,0.001659256,0.005780809,0.001707699],"domain_scores_gemma":[0.933914,0.0395505,0.007655989,0.009030739,0.007767704,0.002080996],"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":[0.001111064,0.01355396,0.05707075,0.0033372,0.000270074,0.000210899,0.01387985,0.00280887,0.003363968,0.001153185,0.004116866,0.8991233],"study_design_scores_gemma":[0.007511399,0.09745374,0.6763632,0.01213251,0.001724763,0.001419325,0.046336,0.03038993,0.04002254,0.008536074,0.0771277,0.0009827524],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7498292,0.001008634,0.1279552,0.006696255,0.0005052815,0.09336802,0.001022711,0.002261264,0.01735337],"genre_scores_gemma":[0.7406774,0.0005336458,0.2225649,0.001107723,0.0001099687,0.0333508,0.0005197902,0.0001033984,0.001032365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09201762,"threshold_uncertainty_score":0.4866415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2481593670777325,"score_gpt":0.6122470737257302,"score_spread":0.3640877066479977,"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."}}