{"id":"W2014266678","doi":"10.2147/ceor.s66309","title":"Oncology drug health technology assessment recommendations: Canadian versus UK experiences","year":2014,"lang":"en","type":"article","venue":"ClinicoEconomics and Outcomes Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Alternative medicine; Drug; Family medicine; Data science; Bioinformatics; Pharmacology; Pathology; Biology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.04464937,0.000228607,0.001371356,0.001493737,0.0009649331,0.0002137206,0.0006256077,0.0002853103,0.001159985],"category_scores_gemma":[0.004950862,0.0002773266,0.0001166544,0.0003019414,0.0004287034,0.0002844985,0.0002148165,0.0007325869,0.001275721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002483063,"about_ca_system_score_gemma":0.001772485,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03572218,"about_ca_topic_score_gemma":0.1043452,"domain_scores_codex":[0.9930724,0.0009273164,0.003878135,0.000945146,0.00009253601,0.001084491],"domain_scores_gemma":[0.9915606,0.005499742,0.001235599,0.0008067374,0.0001216955,0.0007755673],"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":[0.00002118153,0.0001003198,0.2465373,0.00007818776,0.0001064871,8.952654e-7,0.005011221,0.00001848433,9.308174e-8,0.6632511,0.05960872,0.02526605],"study_design_scores_gemma":[0.002130656,0.0005120933,0.02827459,0.00003257094,0.000002631382,0.000003370809,0.042253,0.004066868,9.002248e-7,0.03797154,0.8843517,0.0004000457],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4477503,0.001309009,0.0002233909,0.5253198,0.002587724,0.0009286599,0.0001301465,0.00005354056,0.02169749],"genre_scores_gemma":[0.9706891,0.001988038,0.006806006,0.01811497,0.0003374134,0.0005320287,0.0000674756,0.00004506542,0.001419881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.824743,"threshold_uncertainty_score":0.9999679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6008255346384248,"score_gpt":0.63700972465046,"score_spread":0.03618419001203521,"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."}}