{"id":"W3180802832","doi":"10.2196/26574","title":"Selecting a Subset Based on the Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events for Patient-Reported Symptom Monitoring in Lung Cancer Treatment: Mixed Methods Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Stichting Kwaliteitsgelden Medisch Specialisten; GlaxoSmithKline","keywords":"Common Terminology Criteria for Adverse Events; Medicine; Lung cancer; Nausea; Adverse effect; Terminology; MEDLINE; Constipation; Quality of life (healthcare); Physical therapy; Family medicine; Intensive care medicine; Internal medicine; 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":[0.07887834,0.001231597,0.001935002,0.003975158,0.001537279,0.002554068,0.002042342,0.00145727,0.003412095],"category_scores_gemma":[0.1057415,0.0009439947,0.005186218,0.004002064,0.0007715762,0.001633969,0.002773505,0.001188536,0.000799232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002225936,"about_ca_system_score_gemma":0.003650599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001488359,"about_ca_topic_score_gemma":0.002981621,"domain_scores_codex":[0.9202158,0.05586506,0.01154602,0.0044705,0.006845731,0.001056875],"domain_scores_gemma":[0.9178083,0.05125968,0.0119331,0.00613648,0.01196671,0.0008957373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.01393797,0.01153978,0.5028827,0.03427069,0.01013288,0.001293337,0.0648463,0.001959958,0.005222396,0.006166037,0.01172976,0.3360182],"study_design_scores_gemma":[0.01422499,0.04660051,0.6801695,0.02103041,0.01932709,0.003297608,0.07946219,0.02158052,0.01417882,0.01505161,0.0840394,0.001037372],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7203198,0.008113495,0.0778129,0.001073346,0.0003214556,0.1815508,0.006219806,0.0001370503,0.004451331],"genre_scores_gemma":[0.5400525,0.002514883,0.1388883,0.002500039,0.0002285659,0.3083907,0.006222131,0.00007651501,0.001126354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07887834,"threshold_uncertainty_score":0.4171535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04600866275881598,"score_gpt":0.4138050157044602,"score_spread":0.3677963529456442,"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."}}