{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004965748,0.0009146481,0.001044427,0.001738912,0.0002165748,0.0008995768,0.0007831883,0.0008232057,0.002774034],"category_scores_gemma":[0.0004946264,0.0004640394,0.0005421332,0.001410933,0.0003075037,0.001097392,0.0005621791,0.001884927,0.002140258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006359093,"about_ca_system_score_gemma":0.0006196718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008097983,"about_ca_topic_score_gemma":0.001200292,"domain_scores_codex":[0.999813,0.0000290667,0.0000250727,0.00004023008,0.00006926795,0.00002341333],"domain_scores_gemma":[0.9998951,0.00003257763,0.00002408116,0.000005346438,0.00003420537,0.00000867249],"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":[0.0001442588,0.0001536526,0.0001385652,0.02139818,0.0001104742,0.0003293552,0.0000683912,0.002312547,0.01130804,0.01900617,0.02461704,0.9204133],"study_design_scores_gemma":[0.00003620223,0.0001374723,0.0003199378,0.00148211,0.00005395871,0.0005930766,0.00001679779,0.0002475886,0.002589414,0.002433555,0.9920744,0.000015537],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006538191,0.9941772,0.0007050131,0.0002709356,0.0003106307,0.00002126948,0.00007008805,0.00001738698,0.003773634],"genre_scores_gemma":[0.003425648,0.9922411,0.0009608526,0.0003497148,0.0001648969,0.00003196644,0.0001168803,0.000005316959,0.002703528],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002774034,"threshold_uncertainty_score":0.009280026,"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."}}