{"id":"W2121161686","doi":"10.1177/0272989x14563082","title":"The Need for Transparency and Efficiency in Reimbursement Decisions Relating to Drugs for Rare Diseases","year":2014,"lang":"en","type":"letter","venue":"Medical Decision Making","topic":"Complement system in diseases","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston General Hospital; Health Sciences Centre; Queen's University; University of Ottawa; Sunnybrook Health Science Centre","funders":"","keywords":"Transparency (behavior); Reimbursement; Actuarial science; External validity; Medicine; Psychology; Risk analysis (engineering); Social psychology; Business; Economics; Computer science; Health care","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":[0.05600897,0.0004723357,0.001424246,0.001155991,0.005088701,0.009850275,0.004435584,0.06299833,0.003504071],"category_scores_gemma":[0.2359046,0.0009118832,0.001787257,0.001663629,0.01608812,0.01293564,0.00417831,0.06424727,0.002260775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01175206,"about_ca_system_score_gemma":0.01092002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003559465,"about_ca_topic_score_gemma":0.005305367,"domain_scores_codex":[0.9043165,0.05627511,0.009539649,0.004468509,0.0211131,0.004287099],"domain_scores_gemma":[0.6338664,0.3112822,0.0161194,0.008249344,0.0211558,0.009326837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002490754,0.0001406989,0.004502824,0.0003817173,0.00008970939,0.007768956,0.00317226,0.001134453,0.0005589721,0.07207365,0.8251093,0.08481845],"study_design_scores_gemma":[0.0002423098,0.0003908923,0.005072231,0.002374131,0.00008372966,0.01854658,0.004275355,0.00596199,0.001169354,0.224209,0.7372696,0.0004047209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005468709,0.0005325248,0.0004462328,0.9963109,0.001173284,0.000006478639,0.000005262919,0.000008878301,0.0009695784],"genre_scores_gemma":[0.02957334,0.001101982,0.002185884,0.9485267,0.01787307,0.00004239347,0.00001232667,0.00002667177,0.0006575852],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06299833,"threshold_uncertainty_score":0.2962073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03104357903784761,"score_gpt":0.3294900109060802,"score_spread":0.2984464318682326,"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."}}