{"id":"W4324149309","doi":"10.51731/cjht.2022.596","title":"Pembrolizumab (Keytruda)","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pembrolizumab; Reimbursement; Medicine; Bevacizumab; Test (biology); Family medicine; Intensive care medicine; Chemotherapy; Cancer; Internal medicine; Health care; Immunotherapy; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005006366,0.0002674305,0.0002345335,0.000614226,0.0002136216,0.0007135152,0.000329337,0.0004733079,0.01304521],"category_scores_gemma":[0.0008784412,0.00008628545,0.000338889,0.0003904503,0.0002474689,0.0005705114,0.0003258419,0.0006425652,0.00283943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001384085,"about_ca_system_score_gemma":0.001520312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01147207,"about_ca_topic_score_gemma":0.03186277,"domain_scores_codex":[0.9997649,0.00004977039,0.0000263551,0.0000421449,0.00008172449,0.00003508765],"domain_scores_gemma":[0.9997503,0.00005710165,0.00007142091,0.00001139043,0.00007729347,0.00003240143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005522528,0.0000522581,0.0005131743,0.003273728,0.0001098101,0.0001392471,0.0000301841,0.0001160724,0.004358391,0.003269452,0.06801847,0.919567],"study_design_scores_gemma":[0.0003196611,0.0006554949,0.00428196,0.002231536,0.0001949232,0.0009837191,0.00004021187,0.0001140949,0.005621064,0.0006110913,0.9849304,0.00001595728],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01278647,0.847648,0.001925205,0.008908291,0.001704262,0.0002957363,0.002162083,0.0003040117,0.1242659],"genre_scores_gemma":[0.1863763,0.6790373,0.007286941,0.01262859,0.0008978549,0.0003116138,0.003341795,0.00005049035,0.1100691],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01304521,"threshold_uncertainty_score":0.04364061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03841720438725481,"score_gpt":0.3117376367690041,"score_spread":0.2733204323817493,"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."}}