{"id":"W3049052172","doi":"10.1126/science.abc3421","title":"Microbiome-derived inosine modulates response to checkpoint inhibitor immunotherapy","year":2020,"lang":"en","type":"article","venue":"Science","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":1341,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Alberta Children's Hospital; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Inosine; Immunotherapy; Microbiome; Computational biology; Chemistry; Biology; Immunology; Immune system; Bioinformatics; Biochemistry; Adenosine","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":[0.0002627396,0.0001934606,0.0003629953,0.000197163,0.0001783468,0.0006724246,0.00009653971,0.0005083098,0.002231318],"category_scores_gemma":[0.0006151291,0.0001722536,0.0002507044,0.0001533281,0.0002785468,0.0004131372,0.0003609904,0.001245041,0.0004661019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003127741,"about_ca_system_score_gemma":0.0002984458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002982711,"about_ca_topic_score_gemma":0.0005356985,"domain_scores_codex":[0.9997787,0.00006079412,0.00001159999,0.00004146305,0.00004333471,0.00006407015],"domain_scores_gemma":[0.9997752,0.00003224177,0.00008405688,0.00001505652,0.0000306072,0.00006280362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01446779,0.001115702,0.04027915,0.0008216373,0.0002782713,0.000350777,0.000416272,0.0004278049,0.8440603,0.0009658937,0.006683487,0.09013277],"study_design_scores_gemma":[0.0008184287,0.01357753,0.6616275,0.0003404391,0.0007050444,0.001169231,0.001113242,0.002812885,0.2617465,0.003226905,0.05274934,0.0001128682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730117,0.01636854,0.001637194,0.001899249,0.0005749657,0.00007200186,0.001068298,0.0001283057,0.005239766],"genre_scores_gemma":[0.9909967,0.004255213,0.00065944,0.0008416155,0.0001989163,0.00007574706,0.0004230944,0.00002771826,0.002521508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002231318,"threshold_uncertainty_score":0.007464528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01902200474979086,"score_gpt":0.2797730999589675,"score_spread":0.2607510952091767,"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."}}