{"id":"W1621707035","doi":"10.12927/hcpol.2015.24210","title":"A National Approach to Reimbursement Decision-Making on Drugs for Rare Diseases in Canada? Insights from Across the Ponds","year":2015,"lang":"en","type":"review","venue":"Healthcare policy","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health","funders":"Canadian Institutes of Health Research","keywords":"Reimbursement; Medicine; Policy making; Actuarial science; Business; Public economics; Risk analysis (engineering); Health care; Economic growth; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.005839705,0.0005271803,0.003008231,0.000737792,0.0004022936,0.0001405732,0.0008872581,0.0003003954,0.00002030836],"category_scores_gemma":[0.007639903,0.0004887654,0.0002957321,0.0006997071,0.00003561245,0.0001506603,0.0001734551,0.000455421,0.0003014572],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01877992,"about_ca_system_score_gemma":0.02068629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7165985,"about_ca_topic_score_gemma":0.5748709,"domain_scores_codex":[0.9915057,0.0006870048,0.005338564,0.001171637,0.0004371427,0.0008599791],"domain_scores_gemma":[0.9904822,0.005125095,0.002612558,0.0009603222,0.0002398844,0.0005799842],"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":[0.00007582254,0.0002499801,0.0003942456,0.01477311,0.0002507298,0.000003106033,0.01389231,0.0007210074,4.106039e-10,0.2383098,0.2074621,0.5238677],"study_design_scores_gemma":[0.0003773687,0.00004256562,0.0006337521,0.004574909,0.00001060406,0.000001981783,0.001602112,0.0003412371,1.896667e-9,0.01956421,0.9723997,0.0004515566],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000244791,0.9469033,0.0002528081,0.02381592,0.0008611557,0.004784912,0.02207298,0.00002785481,0.001036228],"genre_scores_gemma":[0.01590571,0.8502876,0.002629345,0.1107946,0.007037045,0.009578114,0.003147975,0.0003413713,0.0002782414],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7649376,"threshold_uncertainty_score":0.9997564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4587582885929834,"score_gpt":0.5331168319393634,"score_spread":0.07435854334638003,"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."}}