{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004572483,0.0004936379,0.001646716,0.0006607217,0.0001131204,0.00008505207,0.0001514687,0.0003606351,0.00004550536],"category_scores_gemma":[0.00006152189,0.0004233918,0.0005071423,0.001407536,0.0002618678,0.0001699913,0.00009595626,0.0004938217,0.000008272691],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004636062,"about_ca_system_score_gemma":0.002966236,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007486976,"about_ca_topic_score_gemma":0.0007789899,"domain_scores_codex":[0.9975902,0.00005447862,0.001016772,0.0006128789,0.0002675542,0.0004580982],"domain_scores_gemma":[0.9988721,0.0001216866,0.0004238411,0.0004165629,0.00004497359,0.0001208125],"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":[0.0001944688,0.00007567235,0.00004702505,0.01546074,0.0009742944,0.00005145999,0.0002743884,0.00000200084,0.000449092,0.00008306346,0.0005757661,0.981812],"study_design_scores_gemma":[0.004826833,0.00008848838,0.0008859024,0.06788128,0.0008417565,0.00008450896,0.0002171005,0.00004654224,0.00004587409,0.00001687993,0.9244255,0.0006393121],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002823483,0.9955243,0.00002289476,0.0004209145,0.001542721,0.001427435,0.0002350745,0.00007344547,0.0004708044],"genre_scores_gemma":[0.0003911026,0.9967467,0.00003720362,0.0001021462,0.0002266053,0.0005355232,0.0002046982,0.0001319916,0.001624041],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9811727,"threshold_uncertainty_score":0.9998218,"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."}}