{"id":"W4409544882","doi":"10.3390/curroncol32040235","title":"Accelerating Oncology Drug Reimbursement in Canada: Impact of the CDA-AMC Time-Limited Recommendation and pCPA Temporary Access Process","year":2025,"lang":"en","type":"article","venue":"Current Oncology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Medicine; Timeline; Orphan drug; Family medicine; Oncology; Health care; Bioinformatics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01814788,0.0002987854,0.0003407141,0.003371465,0.003692116,0.007134333,0.001483975,0.0007643939,0.002918442],"category_scores_gemma":[0.07748597,0.0003855187,0.0007904781,0.0052383,0.001802155,0.001466049,0.002582374,0.002082884,0.0003269743],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1054291,"about_ca_system_score_gemma":0.282043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9570476,"about_ca_topic_score_gemma":0.9706208,"domain_scores_codex":[0.9460465,0.005810784,0.002746879,0.001990021,0.03712008,0.006285827],"domain_scores_gemma":[0.865746,0.02345612,0.0342744,0.002535891,0.05588416,0.0181034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008855938,0.0003520936,0.754492,0.0009292138,0.0002611463,0.0007756442,0.005100198,0.00300759,0.001415983,0.01065736,0.05716808,0.1649551],"study_design_scores_gemma":[0.00005384895,0.0002182855,0.9272014,0.0003167329,0.00009898387,0.0002983262,0.003623187,0.002201068,0.0007341312,0.0003238255,0.06482287,0.0001071874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8492547,0.007028136,0.002930371,0.03916533,0.0004174397,0.002114161,0.01334007,0.0002909858,0.08545896],"genre_scores_gemma":[0.9814733,0.002119373,0.004988566,0.00387274,0.0001136401,0.0002363354,0.002454418,0.00004516651,0.004696579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8945709,"threshold_uncertainty_score":0.7649454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5049360625852635,"score_gpt":0.5416199173540315,"score_spread":0.03668385476876801,"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."}}