{"id":"W4319438676","doi":"10.51731/cjht.2023.561","title":"Pembrolizumab (Keytruda)","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Pembrolizumab; Medicine; Vial; Family medicine; Internal medicine; Cancer; 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":[0.001206285,0.0002074164,0.0002856794,0.0008476127,0.0001406639,0.0007657084,0.0001682157,0.0002702848,0.003561544],"category_scores_gemma":[0.002311144,0.00006031272,0.0004362217,0.0009680954,0.000158849,0.0003930381,0.0002238132,0.0003725224,0.0003005367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002350707,"about_ca_system_score_gemma":0.002060595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02258995,"about_ca_topic_score_gemma":0.06322064,"domain_scores_codex":[0.9994479,0.0002256035,0.000049687,0.00004023906,0.0001887762,0.00004788575],"domain_scores_gemma":[0.9993862,0.0002229952,0.0002058415,0.00001795978,0.0001249964,0.00004198134],"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":[0.001087682,0.00007022148,0.003915253,0.005452851,0.0006873098,0.0001042912,0.00002724394,0.001082801,0.001344041,0.005561173,0.02254499,0.9581222],"study_design_scores_gemma":[0.001248847,0.002849496,0.08925785,0.01985059,0.003388082,0.002699725,0.0002479552,0.002526507,0.006366201,0.005196179,0.8662981,0.00007045633],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02964682,0.9222605,0.002114365,0.005090369,0.0002868514,0.0002774162,0.002989715,0.00006263369,0.03727144],"genre_scores_gemma":[0.4241201,0.55343,0.004976174,0.00191916,0.0001918625,0.0002500696,0.001996582,0.00001348937,0.01310257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02258995,"threshold_uncertainty_score":0.04491693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4209836164381364,"score_gpt":0.4337388593827365,"score_spread":0.01275524294460012,"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."}}