{"id":"W2915189612","doi":"10.3747/co.26.4397","title":"Conditional Approval of Cancer Drugs in Canada: Accountability and Impact on Public Funding","year":2019,"lang":"en","type":"article","venue":"Current Oncology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; Health Sciences Centre; Sunnybrook Health Science Centre; Canadian Agency for Drugs and Technologies in Health; University of Toronto","funders":"","keywords":"Medicine; Accountability; Cancer drugs; Drug approval; Family medicine; Pharmacology; Political science; Law; Drug","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.1013279,0.0004627579,0.00095299,0.007210399,0.004247027,0.01031333,0.003407977,0.002113738,0.003762978],"category_scores_gemma":[0.3822879,0.0007885168,0.001572539,0.01333543,0.004215598,0.003341449,0.004673224,0.004095261,0.0002057754],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1466495,"about_ca_system_score_gemma":0.3463676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9627356,"about_ca_topic_score_gemma":0.9697139,"domain_scores_codex":[0.8470238,0.03159475,0.01343062,0.01024849,0.07920203,0.01850034],"domain_scores_gemma":[0.4230693,0.211221,0.1237446,0.01784709,0.2008973,0.02322084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009709494,0.0001178854,0.612875,0.005614994,0.001526992,0.0006743229,0.00541828,0.005656894,0.001114947,0.03999073,0.1396088,0.1864302],"study_design_scores_gemma":[0.0002386799,0.0001833107,0.7656652,0.005368845,0.0009671674,0.0004047923,0.002808006,0.00597435,0.001506997,0.004925662,0.2116643,0.0002926622],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.376115,0.07679594,0.007707871,0.3550524,0.001818185,0.001583709,0.03750485,0.0006256435,0.1427964],"genre_scores_gemma":[0.9622733,0.008287651,0.003608492,0.01903795,0.0004405126,0.0002210325,0.003463402,0.00008066059,0.002586989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8533505,"threshold_uncertainty_score":0.9897656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.517898087973258,"score_gpt":0.5241835436184863,"score_spread":0.006285455645228311,"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."}}