{"id":"W2947601880","doi":"10.1002/cncr.32209","title":"Strategizing health technology assessment for containment of cancer drug costs in a universal health care system: Case of the pan‐Canadian Oncology Drug Review","year":2019,"lang":"en","type":"article","venue":"Cancer","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; CancerCare Manitoba","funders":"","keywords":"Medicine; Safeguarding; Cancer drugs; Health care; Context (archaeology); Drug development; Cancer; Drug; Nursing; Economic growth; Pharmacology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006993209,0.0001670125,0.001078187,0.0002532802,0.00008752687,0.000007998261,0.0002793795,0.00009934238,0.0000968089],"category_scores_gemma":[0.00001650979,0.0001644578,0.0001284238,0.0003048161,0.00008982677,0.000106846,0.00004634244,0.0002116754,0.000003781252],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01090917,"about_ca_system_score_gemma":0.004563484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4204037,"about_ca_topic_score_gemma":0.5974426,"domain_scores_codex":[0.9980926,0.0000429943,0.0009897811,0.0003618621,0.0000302098,0.0004825834],"domain_scores_gemma":[0.9980622,0.00004409466,0.001276725,0.0003833866,0.00009986971,0.0001337184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008106731,0.0001043361,0.260603,0.01282156,0.0002213468,0.00001946647,0.004470936,0.0005863851,0.000008642673,0.6010224,0.01044214,0.1096187],"study_design_scores_gemma":[0.01284714,0.001598165,0.06648704,0.02429933,0.0001204668,0.00007350984,0.06544443,0.001370027,0.0002671784,0.002866552,0.8228725,0.001753723],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5362303,0.4164072,0.00008700823,0.02951139,0.001984425,0.004622854,0.003344079,0.0000202196,0.007792559],"genre_scores_gemma":[0.9797394,0.01774251,0.00009959293,0.001915402,0.00004514846,0.0002565265,0.00000908973,0.00002345541,0.0001688883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8124303,"threshold_uncertainty_score":0.9928878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316712730771393,"score_gpt":0.3273361348271536,"score_spread":0.3041690075194396,"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."}}