{"id":"W4380987679","doi":"10.3390/cancers15123220","title":"Chasing Immune Checkpoint Inhibitors in Ovarian Cancer: Novel Combinations and Biomarker Discovery","year":2023,"lang":"en","type":"review","venue":"Cancers","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Ovarian cancer; Immunotherapy; Context (archaeology); Medicine; Immune checkpoint; Tumor microenvironment; Biomarker discovery; Immune system; Biomarker; Cancer; Cancer immunotherapy; Cancer research; Oncology; Immunology; Internal medicine; Biology; Proteomics","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":[0.0008284896,0.0007718024,0.001466774,0.001980966,0.0002124516,0.001089408,0.0008209266,0.0009978861,0.003004887],"category_scores_gemma":[0.0007177643,0.0003201267,0.0007139759,0.001457572,0.0004099039,0.00143279,0.0007135477,0.002388513,0.001638753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005059451,"about_ca_system_score_gemma":0.000709645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005236282,"about_ca_topic_score_gemma":0.001605012,"domain_scores_codex":[0.999791,0.00004516323,0.0000238414,0.00002997253,0.00008252566,0.00002756963],"domain_scores_gemma":[0.9997444,0.0001193034,0.00003684657,0.000008935897,0.00006862843,0.00002196938],"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":[0.00009800995,0.0001042767,0.0001591397,0.01186505,0.0001380027,0.0001759159,0.00004763822,0.0004878593,0.002289097,0.004234042,0.01831536,0.9620856],"study_design_scores_gemma":[0.00006087835,0.0003110292,0.0005537172,0.003943286,0.0001817963,0.001092361,0.00004494456,0.0002432128,0.001266512,0.002994925,0.9892848,0.00002256096],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001988546,0.9983948,0.0002059535,0.0003234687,0.0001555956,0.00001115616,0.00001883166,0.000008840137,0.000682453],"genre_scores_gemma":[0.001113807,0.9974738,0.0003122206,0.0003198827,0.0001094059,0.0000142229,0.00003989934,0.000002156111,0.0006146344],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003004887,"threshold_uncertainty_score":0.01005232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0719278631585186,"score_gpt":0.3567076550093486,"score_spread":0.28477979185083,"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."}}