{"id":"W2557309514","doi":"10.1186/s13023-016-0539-3","title":"Health technology assessment of drugs for rare diseases: insights, trends, and reasons for negative recommendations from the CADTH common drug review","year":2016,"lang":"en","type":"review","venue":"Orphanet Journal of Rare Diseases","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada; Canadian Agency for Drugs and Technologies in Health","funders":"","keywords":"Reimbursement; Medicine; Orphan drug; Agency (philosophy); Government (linguistics); Health technology; Randomized controlled trial; Public health; Family medicine; Descriptive statistics; Health care; Political science; Internal medicine; Bioinformatics; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":["metaresearch"],"category_scores_codex":[0.2281607,0.0008403003,0.002134599,0.02160145,0.001939425,0.0107649,0.003660521,0.003554787,0.002711332],"category_scores_gemma":[0.6160213,0.001196789,0.003614229,0.0226495,0.001864052,0.005209753,0.00466885,0.00454105,0.0009006162],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01749262,"about_ca_system_score_gemma":0.046517,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04056977,"about_ca_topic_score_gemma":0.08741292,"domain_scores_codex":[0.578735,0.1429286,0.1220561,0.01455387,0.1363434,0.005383004],"domain_scores_gemma":[0.1550229,0.4033669,0.1828011,0.02027007,0.2261738,0.01236522],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001013067,0.0001711684,0.1474014,0.04453741,0.003726826,0.0008454713,0.002738438,0.001103791,0.001250252,0.0104376,0.3485796,0.438195],"study_design_scores_gemma":[0.0004785435,0.0005451902,0.2884437,0.05575645,0.003369809,0.002433999,0.002349296,0.00329902,0.00179326,0.004375503,0.6366282,0.0005270551],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0640607,0.4493275,0.01000009,0.3846034,0.009999995,0.002508203,0.02892251,0.0007430009,0.04983458],"genre_scores_gemma":[0.4764558,0.299156,0.04267522,0.1302157,0.01510869,0.003085573,0.02511939,0.0007558104,0.007427736],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9825074,"threshold_uncertainty_score":0.9518152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1872431895851158,"score_gpt":0.4679277454746114,"score_spread":0.2806845558894956,"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."}}