{"id":"W4321208155","doi":"10.2139/ssrn.4336842","title":"A Pan-Cancer Clinical Platform to Predict Immunotherapy Outcomes and Prioritize Immuno-Oncology Combinations in Early-Phase Trials","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","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; Université de Montréal","funders":"","keywords":"Oncology; Clinical trial; Immunotherapy; Medicine; Internal medicine; Cancer; Cancer immunotherapy; Clinical Oncology; Medical physics","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":[0.006201421,0.001034065,0.001246421,0.00272991,0.0003452287,0.003425732,0.0008240976,0.00105204,0.01543632],"category_scores_gemma":[0.01610282,0.0005500449,0.0009535784,0.001765907,0.0002748241,0.001447786,0.002201265,0.001265282,0.006892225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007938626,"about_ca_system_score_gemma":0.002749018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005686399,"about_ca_topic_score_gemma":0.001432005,"domain_scores_codex":[0.9976532,0.001057205,0.000280438,0.000389888,0.000484913,0.000134378],"domain_scores_gemma":[0.9915514,0.003918073,0.001586388,0.0008718685,0.001176074,0.0008961597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008350942,0.0006925049,0.05942937,0.002141362,0.001376031,0.0005531051,0.0002277487,0.02624835,0.0128035,0.01497827,0.2117987,0.6614001],"study_design_scores_gemma":[0.005652504,0.004340312,0.06336029,0.001355423,0.002905926,0.002051445,0.000266687,0.2632313,0.03012921,0.1404284,0.4859521,0.0003263338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2051837,0.02516972,0.4062784,0.03195295,0.003907588,0.005617094,0.1618866,0.06914646,0.09085751],"genre_scores_gemma":[0.4976507,0.005614913,0.4007289,0.004928212,0.001795902,0.003394529,0.06970233,0.002404531,0.01378005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01543632,"threshold_uncertainty_score":0.05163962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09511143527396658,"score_gpt":0.4553834664015806,"score_spread":0.360272031127614,"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."}}