{"id":"W4362571174","doi":"10.1007/978-3-030-80962-1_316-1","title":"Advancing Cancer Immunotherapy Through Integrating Molecular and Computational Approaches","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Cancer immunotherapy; Immunotherapy; Computational biology; Cancer; Computer science; Medicine; Biology; 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":[0.0007882741,0.000762844,0.0004857111,0.0008688073,0.0002604922,0.002373496,0.0008375125,0.0008598001,0.01740237],"category_scores_gemma":[0.001396581,0.0002843831,0.0004361207,0.0009981617,0.0008152673,0.002244383,0.0009655093,0.002267879,0.007970522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008022567,"about_ca_system_score_gemma":0.0008698239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008369313,"about_ca_topic_score_gemma":0.00192673,"domain_scores_codex":[0.9997976,0.00004702502,0.000006503842,0.00002509772,0.0001132763,0.00001045017],"domain_scores_gemma":[0.9994268,0.0004341197,0.00001664264,0.00003663797,0.00006404864,0.00002169768],"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":[0.00002360557,0.00006870239,0.0002283191,0.0007339047,0.00003801865,0.00007074292,0.00008284942,0.0131089,0.003417326,0.4226693,0.1340982,0.42546],"study_design_scores_gemma":[0.000007006676,0.00002289693,0.0001587283,0.0003131556,0.0000196154,0.0001982533,0.00004701412,0.01483734,0.002039726,0.3448656,0.6374742,0.00001655313],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.002326207,0.1318076,0.3909958,0.02131095,0.004775033,0.0001150793,0.000817878,0.001640903,0.4462106],"genre_scores_gemma":[0.03651831,0.181586,0.4291804,0.007640577,0.003777554,0.000243369,0.00136299,0.0009469517,0.3387437],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01740237,"threshold_uncertainty_score":0.05821675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04200286276706074,"score_gpt":0.2942354026729987,"score_spread":0.252232539905938,"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."}}