{"id":"W2901319181","doi":"10.1007/s11136-018-2046-6","title":"Individualized health-related quality of life instrument Measure Yourself Medical Outcome Profile (MYMOP) and its adaptations: a critical appraisal","year":2018,"lang":"en","type":"review","venue":"Quality of Life Research","topic":"Cancer survivorship and care","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Quality of Life Research; Critical appraisal; Public health; Measure (data warehouse); Quality of life (healthcare); Psychology; Health related quality of life; MEDLINE; Medicine; Nursing; Alternative medicine; Computer science; Political science; Data mining; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.04318871,0.0005730567,0.006092567,0.0007869654,0.0002565333,0.00004608598,0.0007000121,0.001304359,0.00130257],"category_scores_gemma":[0.09669205,0.0004712662,0.0008429433,0.001460585,0.001717439,0.0001230856,0.0005308374,0.0026727,0.00006880077],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003258354,"about_ca_system_score_gemma":0.01312111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006841984,"about_ca_topic_score_gemma":0.001192067,"domain_scores_codex":[0.9713713,0.01326573,0.005721885,0.00106709,0.007523546,0.001050445],"domain_scores_gemma":[0.9781359,0.0133924,0.001594142,0.001372622,0.002842907,0.002662026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001903918,0.002668625,0.004437668,0.4890724,0.002845527,0.00002003765,0.01123248,3.5065e-8,0.000003264717,0.02862739,0.007086334,0.4521024],"study_design_scores_gemma":[0.01697356,0.005655935,0.01326537,0.1154641,0.001704215,0.0001343457,0.02047714,0.00006589143,0.0000113496,0.0007746628,0.8228141,0.002659313],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006816447,0.9807205,0.00003666856,0.006902723,0.0006473553,0.002613889,0.001218724,0.00007526842,0.000968474],"genre_scores_gemma":[0.04486708,0.9524111,0.0003336848,0.0002542086,0.0005966889,0.0004947477,0.0006671137,0.0001143073,0.0002610687],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8157278,"threshold_uncertainty_score":0.9999921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6110383512712477,"score_gpt":0.588342681591739,"score_spread":0.02269566967950876,"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."}}