{"id":"W2546045155","doi":"10.1016/j.jval.2016.09.039","title":"HT5 Development of a Multi-Criteria Decision Analysis (MCDA) Framework for Health Care Decision-Making in Catalonia (Spain): Pilot Study Focused in Orphan Drugs","year":2016,"lang":"en","type":"article","venue":"Value in Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Multiple-criteria decision analysis; Orphan drug; Weighting; Context (archaeology); Scope (computer science); Health care; Medicine; Decision analysis; Management science; Population; Operations research; Computer science; Statistics; Engineering; Mathematics; Geography; Environmental health","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":[0.005844724,0.0008568525,0.0007900042,0.00146355,0.0006754867,0.002433986,0.001388055,0.00137828,0.01257216],"category_scores_gemma":[0.008101141,0.0004986083,0.001453392,0.0009198385,0.000393188,0.0008367036,0.001620085,0.00114015,0.0007181725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003141487,"about_ca_system_score_gemma":0.006438209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06011005,"about_ca_topic_score_gemma":0.04476657,"domain_scores_codex":[0.9976348,0.001662225,0.0001309227,0.0001659634,0.0002368875,0.0001691588],"domain_scores_gemma":[0.9957635,0.002614206,0.0001633361,0.0002258692,0.00103738,0.0001956957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004606031,0.0005578746,0.005827521,0.0007500114,0.0002951787,0.0003587127,0.0005497131,0.8194199,0.002124816,0.03908181,0.009099782,0.1214741],"study_design_scores_gemma":[0.0001765642,0.0001067392,0.001506359,0.0001998825,0.00006528458,0.00002955262,0.0002674328,0.9783365,0.0007953127,0.01060197,0.007884318,0.0000301635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1374613,0.0006246715,0.8253261,0.002298302,0.0002423767,0.001999105,0.004892544,0.001336688,0.02581895],"genre_scores_gemma":[0.3409874,0.0001961348,0.6528013,0.0001899829,0.00002961871,0.0007690586,0.001635733,0.0001016778,0.00328912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06011005,"threshold_uncertainty_score":0.1195203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3201410966281008,"score_gpt":0.4792208494398056,"score_spread":0.1590797528117048,"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."}}