{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001570383,0.000381491,0.0006896171,0.0003050511,0.0007695479,0.00008240463,0.0009305914,0.0006455095,0.0002880708],"category_scores_gemma":[0.01218044,0.0002594552,0.0002806646,0.0002102179,0.0001666741,0.00003664373,0.0002546698,0.0006973764,0.00003647833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000102636,"about_ca_system_score_gemma":0.0001565097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001031902,"about_ca_topic_score_gemma":0.00004208094,"domain_scores_codex":[0.9963545,0.0003503555,0.001265985,0.0008247665,0.0004007859,0.0008036097],"domain_scores_gemma":[0.9724501,0.02643274,0.0002723338,0.0006315819,0.0001250582,0.0000882349],"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":[0.0003082883,0.00004347978,0.0005150136,0.0001092213,0.00005133795,0.00001564973,0.0002033131,0.00001556809,0.00002040746,0.0002273012,0.8176773,0.1808132],"study_design_scores_gemma":[0.002532856,0.0002882395,0.0009500818,0.004750788,0.0001435568,0.00001568236,0.00026767,0.0004612699,0.000006288515,0.00524546,0.9849485,0.0003895657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01928808,0.01891503,0.4648702,0.4774268,0.007027511,0.01063644,0.001192282,0.0002254736,0.0004182192],"genre_scores_gemma":[0.6778778,0.0002666085,0.004186694,0.3065251,0.00231406,0.005207765,0.001520139,0.0002428265,0.001859002],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6585898,"threshold_uncertainty_score":0.9999858,"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."}}