{"id":"W2052993917","doi":"10.1007/s40271-014-0106-8","title":"Involving Patients in Reducing Decision Uncertainties Around Orphan and Ultra-Orphan Drugs: A Rare Opportunity?","year":2014,"lang":"en","type":"review","venue":"Patient","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Orphan drug; Rare disease; Reimbursement; Business; Health technology; Disease; Medicine; Risk analysis (engineering); Economics; Health care; Bioinformatics; Economic growth; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02040844,0.0009813135,0.003298791,0.001649741,0.0004341162,0.003298863,0.001569061,0.003092367,0.006901635],"category_scores_gemma":[0.05790227,0.0003304286,0.001974408,0.002443296,0.001351858,0.003754447,0.001557242,0.004059756,0.0004524661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612583,"about_ca_system_score_gemma":0.00543239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003191753,"about_ca_topic_score_gemma":0.006430758,"domain_scores_codex":[0.9885661,0.009343403,0.0005869016,0.0002694825,0.0009564838,0.0002777292],"domain_scores_gemma":[0.9398044,0.05427621,0.003282747,0.0004413945,0.001649111,0.0005460473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005160305,0.0001651731,0.001815605,0.02711897,0.002201074,0.0001229828,0.0001916685,0.001642048,0.00005796264,0.01850229,0.01390635,0.9337599],"study_design_scores_gemma":[0.002177076,0.001053128,0.009062205,0.2253924,0.009018805,0.001887673,0.001881311,0.003117564,0.0005423573,0.1522015,0.5934724,0.0001936516],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008912873,0.9840841,0.001286715,0.01160702,0.0002687127,0.00003003694,0.00005710876,0.000006322542,0.001768791],"genre_scores_gemma":[0.02851159,0.9612325,0.003224102,0.005496887,0.001036715,0.00009557023,0.00006840631,0.000007061246,0.0003271454],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02040844,"threshold_uncertainty_score":0.1079314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2840739363222896,"score_gpt":0.4188078669294798,"score_spread":0.1347339306071902,"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."}}