{"id":"W4404205526","doi":"10.51731/cjht.2024.1024","title":"Pembrolizumab (Keytruda)","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Cancer Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pembrolizumab; Computer science; Medicine; Internal medicine; Cancer","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":[0.0006504228,0.0002055622,0.0003017612,0.00077897,0.0001867001,0.0006537984,0.000255193,0.0003073619,0.004441239],"category_scores_gemma":[0.001138423,0.00007952644,0.0003578943,0.0006724304,0.0001510568,0.0004243792,0.0002243928,0.0005544868,0.0009525569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001366528,"about_ca_system_score_gemma":0.001157379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008927638,"about_ca_topic_score_gemma":0.03282904,"domain_scores_codex":[0.9996765,0.0000696283,0.00003512709,0.0000445249,0.0001373879,0.00003688351],"domain_scores_gemma":[0.9996747,0.00007210644,0.0001038265,0.0000104624,0.0001061812,0.00003284276],"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":[0.0005995994,0.00005074689,0.001038645,0.004005612,0.0001939102,0.0001246234,0.00002507976,0.0001435302,0.003116559,0.001400698,0.02781454,0.9614865],"study_design_scores_gemma":[0.0005922791,0.0008932452,0.01058718,0.004320745,0.0005854203,0.001855967,0.00004746177,0.0001634581,0.00502288,0.0006476552,0.9752652,0.00001863397],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01154996,0.948543,0.0008639583,0.00265297,0.0003954464,0.0001907937,0.001275464,0.00009883256,0.03442957],"genre_scores_gemma":[0.2237713,0.7401994,0.00455749,0.004082525,0.000397381,0.0002584924,0.002364573,0.0000226864,0.02434621],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008927638,"threshold_uncertainty_score":0.01775134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02865732389860939,"score_gpt":0.3193534515525259,"score_spread":0.2906961276539165,"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."}}