{"id":"W3174235938","doi":"10.3390/microorganisms9061325","title":"Preventing Colorectal Cancer through Prebiotics","year":2021,"lang":"en","type":"review","venue":"Microorganisms","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research; NIH Clinical Center; National Institutes of Health","keywords":"Dysbiosis; Colorectal cancer; Gut flora; Microbiome; Cancer; Medicine; Prebiotic; Biology; Bioinformatics; Immunology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001335399,0.0004743207,0.001054965,0.00003339843,0.0001537602,0.00006676165,0.0003761771,0.0007511862,0.0002447188],"category_scores_gemma":[0.00003427271,0.0004413144,0.0004749177,0.0001927299,0.00006923108,0.000002692334,0.0003792666,0.0003490084,0.00008012837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009010035,"about_ca_system_score_gemma":0.001164654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003701451,"about_ca_topic_score_gemma":0.00007139585,"domain_scores_codex":[0.9979658,0.0001690286,0.0005213941,0.0007419494,0.00009359313,0.0005082279],"domain_scores_gemma":[0.9990658,0.0000145451,0.0003113259,0.0004310471,0.00009118896,0.00008605426],"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":[0.000008177335,0.0002913121,0.00003311706,0.02197665,0.001116412,0.00004831178,0.0002526089,9.827654e-7,0.4499218,0.0001135081,0.04656511,0.479672],"study_design_scores_gemma":[0.0001338651,0.00006373857,0.00000328599,0.00299631,0.0003921913,0.0001421417,0.00001830264,4.057317e-8,0.03049788,0.000003601591,0.9653001,0.0004485621],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005665939,0.9975178,0.0001066505,0.00002607561,0.0006474997,0.0005525858,0.0002335319,0.00002381855,0.0003254479],"genre_scores_gemma":[0.00003097513,0.9927971,0.001845767,0.0001866742,0.0007618585,0.00003764335,0.001428459,0.0001381278,0.00277335],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.918735,"threshold_uncertainty_score":0.9998038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03041799598633182,"score_gpt":0.3516209019473246,"score_spread":0.3212029059609928,"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."}}