{"id":"W4311618837","doi":"10.51731/cjht.2022.525","title":"Pembrolizumab (Keytruda)","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Colorectal Cancer Treatments and Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Pembrolizumab; Medicine; Breast cancer; Stage (stratigraphy); Family medicine; Oncology; Cancer; Internal medicine; Health care; 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":[0.0006845418,0.0002544833,0.000261604,0.0006520974,0.0002439828,0.0008128498,0.0003443217,0.0005410446,0.01744433],"category_scores_gemma":[0.001396619,0.00008480942,0.0004154762,0.0004749421,0.0002626354,0.0006189384,0.0003516992,0.0006589571,0.002907936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412565,"about_ca_system_score_gemma":0.0020941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01512533,"about_ca_topic_score_gemma":0.04676304,"domain_scores_codex":[0.9997167,0.00006769763,0.0000338248,0.00004107268,0.00009975632,0.00004093452],"domain_scores_gemma":[0.9995757,0.0001105577,0.000108697,0.00001595619,0.0001420028,0.00004714587],"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":[0.0006014216,0.00004620241,0.0004415265,0.005163322,0.0001283765,0.0001096179,0.0000311424,0.00007446484,0.002333331,0.003684916,0.1122426,0.8751431],"study_design_scores_gemma":[0.0003270315,0.0005080429,0.003694156,0.003736383,0.0002379427,0.0005362061,0.00004169946,0.00006972539,0.002647954,0.0005950478,0.9875928,0.00001301528],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006945343,0.8451452,0.001084413,0.01247817,0.002264777,0.0002515672,0.002146882,0.0001992983,0.1294843],"genre_scores_gemma":[0.1075727,0.756236,0.004692518,0.01526346,0.001121018,0.0002820864,0.002626672,0.00003844324,0.1121671],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01744433,"threshold_uncertainty_score":0.05835712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02940766850725599,"score_gpt":0.2953782050532903,"score_spread":0.2659705365460343,"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."}}