{"id":"W4210502005","doi":"10.3389/fmed.2021.818647","title":"Conditional Drug Approval as a Path to Market for Oncology Drugs in Canada: Challenges and Recommendations for Assessing Eligibility and Regulatory Responsiveness","year":2022,"lang":"en","type":"article","venue":"Frontiers in Medicine","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Genome British Columbia; Genome Canada","keywords":"Jurisdiction; Drug approval; Business; Notice; Medicine; Drug development; Clinical trial; Limiting; Drug; Public economics; Actuarial science; Risk analysis (engineering); Pharmacology; Political science; Economics; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.04953019,0.0008440989,0.001670583,0.006312013,0.005589215,0.01690901,0.003176999,0.003170806,0.006762564],"category_scores_gemma":[0.1901673,0.0006205444,0.001918581,0.00968629,0.009803464,0.007678722,0.004469118,0.006486837,0.0002660636],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2071758,"about_ca_system_score_gemma":0.3961976,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9845191,"about_ca_topic_score_gemma":0.9836017,"domain_scores_codex":[0.9582574,0.01604825,0.002001316,0.001998672,0.01445962,0.007234713],"domain_scores_gemma":[0.826825,0.1061724,0.009915098,0.003006686,0.04829237,0.00578838],"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":[0.0001517172,0.00008368512,0.03199281,0.000657641,0.0002039112,0.0002612696,0.001974426,0.03282986,0.0002411255,0.8353731,0.04261896,0.05361146],"study_design_scores_gemma":[0.0002488541,0.0001711684,0.1011323,0.004669054,0.0006976008,0.0001370018,0.01191807,0.1416581,0.001214141,0.5930425,0.1445451,0.0005661365],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1505381,0.02635273,0.07373076,0.5410652,0.0008266604,0.001973629,0.005737279,0.0004268215,0.1993489],"genre_scores_gemma":[0.9050553,0.009302019,0.0527949,0.02154056,0.0003364157,0.0004429719,0.001424109,0.0001141308,0.008989631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7928242,"threshold_uncertainty_score":0.9195637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1830527392457256,"score_gpt":0.4279904618828991,"score_spread":0.2449377226371735,"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."}}