{"id":"W4399854892","doi":"10.1016/j.cell.2024.05.029","title":"Custom scoring based on ecological topology of gut microbiota associated with cancer immunotherapy outcome","year":2024,"lang":"en","type":"article","venue":"Cell","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Centre Hospitalier de l’Université de Montréal","funders":"Agence Nationale de la Recherche","keywords":"Biology; Dysbiosis; Gut flora; Metagenomics; Cancer; Colorectal cancer; Oncology; Internal medicine; Cohort; Computational biology; Bioinformatics; Immunology; Genetics; Medicine; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001241031,0.0001271629,0.0001743655,0.00004572581,0.00003458413,0.00001196554,0.0001187157,0.0001932592,0.0001364753],"category_scores_gemma":[0.000009499581,0.00009600895,0.00007362197,0.00008572693,0.00007958334,0.00000118832,0.00002400794,0.0001351227,0.00001009693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004749279,"about_ca_system_score_gemma":0.0001622941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005971484,"about_ca_topic_score_gemma":0.0000962031,"domain_scores_codex":[0.9992154,0.00004990409,0.0001829583,0.000274182,0.000046107,0.0002314122],"domain_scores_gemma":[0.9996482,0.00002750767,0.00005716449,0.0001924876,0.00003739179,0.00003723377],"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":[0.00008176465,0.0001175837,0.008259444,0.00005777017,0.00003210209,0.00000723726,0.00002455767,0.0001238067,0.9896033,0.00001663804,0.001493205,0.0001826024],"study_design_scores_gemma":[0.002064544,0.001979011,0.1237302,0.0001817469,0.00005515828,0.000007247005,0.00004486279,0.0002804381,0.8095806,0.00001247663,0.06160167,0.0004620652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996898,0.001125132,0.0001022317,0.0003264701,0.0003063082,0.0001436223,0.00004716812,0.0000295722,0.001021479],"genre_scores_gemma":[0.9972667,0.0001383759,0.0001449791,0.0008346915,0.00006420893,0.00001022629,0.00006301136,0.00002911889,0.001448759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1800227,"threshold_uncertainty_score":0.3915131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411803082944833,"score_gpt":0.2860518297095744,"score_spread":0.2719337988801261,"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."}}