{"id":"W4387809745","doi":"10.1016/j.annonc.2023.09.2951","title":"228P Biomarker discovery via meta-analysis of immunotherapy clinical trials in cancer","year":2023,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Immunotherapy; Medicine; Cancer immunotherapy; Oncology; Clinical trial; Biomarker; Gene signature; Cancer; Gene expression profiling; Internal medicine; Computational biology; Bioinformatics; Gene; Gene expression; Biology; Genetics","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":["metaresearch","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.04709752,0.003135572,0.009784563,0.00447327,0.0009204448,0.005311535,0.002492489,0.002912656,0.004309899],"category_scores_gemma":[0.1029785,0.002023105,0.0391712,0.005413359,0.00107856,0.00341088,0.002980062,0.003710026,0.0007879339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103522,"about_ca_system_score_gemma":0.001756006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002406483,"about_ca_topic_score_gemma":0.003477677,"domain_scores_codex":[0.9277558,0.05213137,0.007190949,0.007711253,0.003924358,0.001286342],"domain_scores_gemma":[0.9033082,0.07621548,0.007437322,0.009845021,0.002284275,0.0009098021],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.007172733,0.00002803454,0.05264518,0.006008483,0.9187388,0.0001713515,0.00005424188,0.002384145,0.0006572353,0.0004350372,0.001109005,0.01059567],"study_design_scores_gemma":[0.001546807,0.0006578473,0.0271848,0.0008947107,0.9537895,0.0003869543,0.00007327128,0.005583067,0.0006838735,0.00502813,0.004105747,0.00006522851],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2262469,0.6817333,0.06449425,0.006194288,0.004702793,0.0005399218,0.00965708,0.001110191,0.00532124],"genre_scores_gemma":[0.9723791,0.01401451,0.007771082,0.001401363,0.001008389,0.0003239848,0.001931113,0.0002677695,0.0009026274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9902154,"threshold_uncertainty_score":0.2490785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6018903158374248,"score_gpt":0.588874700187685,"score_spread":0.01301561564973985,"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."}}