{"id":"W2996522289","doi":"10.3390/cancers12010038","title":"Structure and Optimization of Checkpoint Inhibitors","year":2019,"lang":"en","type":"review","venue":"Cancers","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Durvalumab; Tremelimumab; Avelumab; Nivolumab; Pembrolizumab; Medicine; Pharmacokinetics; Ipilimumab; Immune checkpoint; Drug; Pharmacology; Cancer research; Immunotherapy; Cancer; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005857123,0.000190964,0.0009512943,0.0001110965,0.00001407455,0.000006300625,0.0000487834,0.0002247849,0.0002353093],"category_scores_gemma":[0.00001272954,0.0001399951,0.0002284079,0.0001979491,0.00008961609,0.00002597215,0.00001736199,0.0001564954,0.000001155105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007251106,"about_ca_system_score_gemma":0.001161599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008031669,"about_ca_topic_score_gemma":0.000003456412,"domain_scores_codex":[0.9991865,0.00001974169,0.0003544998,0.0002118732,0.0001202544,0.0001070894],"domain_scores_gemma":[0.9993823,0.00001985647,0.0002939902,0.000219802,0.00003896308,0.00004509975],"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":[0.00009035339,0.000002317488,0.000005882482,0.02999762,0.0003194009,0.000001726703,0.00005888035,0.0001357154,0.00001793869,0.000003840135,0.0008593607,0.9685069],"study_design_scores_gemma":[0.0006288819,0.0001253978,0.000003685354,0.01525483,0.0008583643,0.00003905569,0.0000199536,0.00005586959,0.00007138366,0.000001254556,0.9827846,0.0001566684],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000402222,0.9983929,0.00002685355,0.0000145521,0.0004905971,0.00062962,0.00007173722,0.00001229155,0.0003211699],"genre_scores_gemma":[0.00003383802,0.9988806,0.0003769277,0.00005062121,0.0001513803,0.00001112324,0.0001092148,0.00003302421,0.0003532954],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9819253,"threshold_uncertainty_score":0.5708833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02967208556251453,"score_gpt":0.3146271618861544,"score_spread":0.2849550763236398,"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."}}