{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008947141,0.0006387641,0.003962975,0.001252011,0.0002649607,0.0002171085,0.0004222589,0.0004647569,0.0001656004],"category_scores_gemma":[0.007260237,0.0007246524,0.0003242337,0.0004032317,0.00009931105,0.0005051018,0.0001669717,0.0005116694,0.0005170926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00166636,"about_ca_system_score_gemma":0.0003984518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001881078,"about_ca_topic_score_gemma":0.0002308741,"domain_scores_codex":[0.9893182,0.0008666257,0.007671777,0.001240372,0.0002194297,0.0006836006],"domain_scores_gemma":[0.9908481,0.002474823,0.005245836,0.0008702624,0.0001111241,0.0004499021],"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":[0.00002068226,0.0004011851,0.01072989,0.0343671,0.0001960205,0.000005268994,0.01062831,0.00007592978,1.445803e-8,0.00582318,0.009662738,0.9280897],"study_design_scores_gemma":[0.0007162037,0.000205078,0.0003063273,0.01937173,0.00004844671,0.000004381607,0.001268808,0.000458949,9.438891e-8,0.00354218,0.9731142,0.0009636102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01391045,0.9798998,0.0001339624,0.0002886842,0.001428683,0.002330744,0.0004567886,0.00005048243,0.001500415],"genre_scores_gemma":[0.00679042,0.9897039,0.0007182563,0.001352925,0.0002756774,0.0004035827,0.0005125665,0.0001212064,0.000121488],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9634514,"threshold_uncertainty_score":0.9995205,"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."}}