{"id":"W2161078130","doi":"","title":"Evidence and values: requirements for public reimbursement of drugs for rare diseases--a case study in oncology.","year":2009,"lang":"en","type":"article","venue":"PubMed","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Reimbursement; Medicine; Orphan drug; Equity (law); Bioethics; Family medicine; Intensive care medicine; Actuarial science; Bioinformatics; Health care; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.1411146,0.000633161,0.001329465,0.003753117,0.004774806,0.0124767,0.002414212,0.02485855,0.005920089],"category_scores_gemma":[0.2647976,0.0008139524,0.001756367,0.003252884,0.0113969,0.009035663,0.007883701,0.01170431,0.000461774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0136618,"about_ca_system_score_gemma":0.03154954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004972186,"about_ca_topic_score_gemma":0.005669951,"domain_scores_codex":[0.8968671,0.07275352,0.008744454,0.00153596,0.016285,0.003813935],"domain_scores_gemma":[0.6805538,0.2840334,0.01216039,0.004472296,0.01303524,0.005744905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002372302,0.0002365407,0.009758978,0.00270972,0.0001387116,0.01850296,0.009492102,0.002606391,0.0003233525,0.8189813,0.05060713,0.08640546],"study_design_scores_gemma":[0.000416321,0.0003903935,0.009188976,0.02234678,0.0004315822,0.03351215,0.01471238,0.005227204,0.0007472291,0.5726286,0.340159,0.0002393568],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0403366,0.02595457,0.02126917,0.8205382,0.001464659,0.001751857,0.0003394835,0.00004271282,0.08830279],"genre_scores_gemma":[0.8172156,0.01513216,0.06476764,0.09074093,0.002005802,0.00294459,0.0002250964,0.00004841425,0.006919824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1411146,"threshold_uncertainty_score":0.7462943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6373870620318244,"score_gpt":0.4846569337873573,"score_spread":0.1527301282444671,"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."}}