{"id":"W4393386913","doi":"10.3390/curroncol31040141","title":"Application of Multi-Criteria Decision Analysis (MCDA) to Prioritize Real-World Evidence Studies for Health Technology Management: Outcomes and Lessons Learned by the Canadian Real-World Evidence for Value of Cancer Drugs (CanREValue) Collaboration","year":2024,"lang":"en","type":"article","venue":"Current Oncology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Calgary; University of Alberta; Institute for Clinical Evaluative Sciences; Women's College Hospital; Nova Scotia Health Authority; University of Toronto; Cancer Care Ontario; Hospital for Sick Children; CancerCare Manitoba; Saskatchewan Cancer Agency; Health Sciences Centre; Canadian Centre for Applied Research in Cancer Control; Kelowna General Hospital; Sunnybrook Health Science Centre; SickKids Foundation; Alberta Health Services","funders":"Canadian Institutes of Health Research; Canadian Centre for Applied Research in Cancer Control","keywords":"Multiple-criteria decision analysis; Deliberation; Medicine; Decision analysis; Health technology; Multidisciplinary approach; Facilitator; Management science; Risk analysis (engineering); Process management; Operations research; Health care; Business; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2410393,0.001979852,0.002705805,0.01276959,0.005890728,0.01258937,0.004331689,0.002537742,0.003334802],"category_scores_gemma":[0.3019651,0.001067068,0.002911326,0.01431173,0.005166653,0.003359381,0.008176792,0.005126525,0.0003143175],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05876524,"about_ca_system_score_gemma":0.1491507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3524754,"about_ca_topic_score_gemma":0.5438993,"domain_scores_codex":[0.7264444,0.2138577,0.01332063,0.004021582,0.03886797,0.003487829],"domain_scores_gemma":[0.6461388,0.2565572,0.01076883,0.007803162,0.07204968,0.006682337],"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":[0.00121905,0.0006922054,0.01631924,0.01813585,0.002376075,0.0007130646,0.0149751,0.1057823,0.001439742,0.1075202,0.03738289,0.6934444],"study_design_scores_gemma":[0.002790188,0.001609031,0.02293011,0.03368954,0.002319557,0.0005893087,0.02049719,0.3414348,0.006457932,0.3280736,0.2379532,0.001655614],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0968056,0.05950435,0.6385004,0.09621614,0.001701138,0.02360149,0.002698757,0.0006549666,0.08031723],"genre_scores_gemma":[0.2092521,0.007479332,0.7766958,0.00190191,0.0001049066,0.002935425,0.0004671117,0.0001038228,0.001059606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9412348,"threshold_uncertainty_score":0.9359337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6247206505166735,"score_gpt":0.6358298640524935,"score_spread":0.01110921353582006,"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."}}