{"id":"W4296769722","doi":"10.1016/j.mbs.2022.108911","title":"Mathematical modeling for the combination treatment of IFN-<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\" id=\"d1e4854\" altimg=\"si118.svg\"><mml:mi>γ</mml:mi></mml:math> and anti-PD-1 in cancer immunotherapy","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Immune system; CD8; Cytotoxic T cell; Apoptosis; Cancer research; Programmed cell death; T cell; PD-L1; Cytokine; Biology; Immune checkpoint; Immunotherapy; Immunology; Biochemistry; In vitro","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009588841,0.0007631385,0.0009120869,0.0006622343,0.000498548,0.001170535,0.001027122,0.001620213,0.008674731],"category_scores_gemma":[0.002127061,0.0003611314,0.001530434,0.0005147198,0.0005637006,0.001155469,0.0008277462,0.001539707,0.001416075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001379543,"about_ca_system_score_gemma":0.001622627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0116683,"about_ca_topic_score_gemma":0.009213182,"domain_scores_codex":[0.9996833,0.0001268824,0.00001455276,0.0000486461,0.00008295017,0.00004376631],"domain_scores_gemma":[0.9992981,0.0004182618,0.00009856364,0.00002993994,0.0001151862,0.00003999031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005117006,0.00004848215,0.0007160439,0.0001551062,0.00005397938,0.000110738,0.00008873137,0.7503451,0.001224655,0.2272856,0.008799582,0.0111208],"study_design_scores_gemma":[0.00001137487,0.00001512995,0.000142972,0.00001695254,0.00001448748,0.00003630638,0.00001052136,0.9641881,0.0001719605,0.03060949,0.004772931,0.000009740284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01891691,0.003332994,0.9184326,0.007062904,0.0004694167,0.0001044985,0.001615162,0.0003043402,0.04976122],"genre_scores_gemma":[0.6928859,0.005365754,0.1613186,0.002398352,0.0007023733,0.001175749,0.001769067,0.0004633859,0.1339208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0116683,"threshold_uncertainty_score":0.02901989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03201819193043293,"score_gpt":0.2942803397798242,"score_spread":0.2622621478493912,"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."}}