{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005885185,0.0003854096,0.0003246676,0.001408459,0.000245185,0.0006214334,0.0001597751,0.0002311674,0.001961835],"category_scores_gemma":[0.001847101,0.0001151253,0.0003337704,0.00118431,0.0002079521,0.0002836123,0.000623835,0.0002977344,0.000396961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002292211,"about_ca_system_score_gemma":0.0001894782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000797722,"about_ca_topic_score_gemma":0.002166396,"domain_scores_codex":[0.9995326,0.0001502687,0.00003746881,0.0001231364,0.0000920211,0.00006462273],"domain_scores_gemma":[0.9992062,0.0002270077,0.0002654154,0.00007251134,0.0001418535,0.00008702721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006580481,0.0001043505,0.8930515,0.0001284133,0.0002390214,0.00009966699,0.0002065052,0.00380547,0.06316648,0.0003119341,0.0006917185,0.03753693],"study_design_scores_gemma":[0.00002273141,0.0004352414,0.9561982,0.00002336404,0.0001513434,0.0004532395,0.0004356517,0.0253997,0.01428468,0.001009695,0.001551004,0.00003512681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867863,0.0001176717,0.009977874,0.00004079182,0.0000143613,0.00004781689,0.001787963,0.00009954061,0.001127656],"genre_scores_gemma":[0.9885882,0.00006813087,0.009327018,0.00002023921,0.000008500379,0.00004938207,0.001606605,0.00002191621,0.0003099118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001961835,"threshold_uncertainty_score":0.006562948,"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."}}