{"id":"W4280539883","doi":"10.1016/j.chom.2022.04.011","title":"Preemies going pro: How probiotic treatment matures the microbiome of extreme premature infants","year":2022,"lang":"en","type":"article","venue":"Cell Host & Microbe","topic":"Infant Nutrition and Health","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Azrieli Foundation","keywords":"Microbiome; Biology; Probiotic; Gut microbiome; Physiology; Immunology; Bioinformatics; Bacteria; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004944882,0.0002553315,0.0003211523,0.0001553539,0.0003403044,0.0009486836,0.0002897329,0.0008294857,0.00189648],"category_scores_gemma":[0.001616731,0.0001359564,0.000303758,0.000105932,0.0003300429,0.0006411979,0.0008088123,0.001398663,0.0003153188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003109178,"about_ca_system_score_gemma":0.0007087594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007307701,"about_ca_topic_score_gemma":0.002056891,"domain_scores_codex":[0.9997551,0.0001048769,0.00001044245,0.00003272075,0.00004463256,0.0000522154],"domain_scores_gemma":[0.9997082,0.00007927173,0.00005317639,0.00002228775,0.00003873268,0.00009832971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007652279,0.001008364,0.03199302,0.002088809,0.0002731962,0.001581347,0.004174026,0.0004221559,0.3447047,0.004715851,0.01260048,0.5887856],"study_design_scores_gemma":[0.000614582,0.01992042,0.5120665,0.004862353,0.001162617,0.006042012,0.01808617,0.002521389,0.1365133,0.01622288,0.2816983,0.000289483],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9245248,0.05054719,0.003410777,0.0108344,0.001557501,0.0001096387,0.0004817953,0.0001535265,0.008380318],"genre_scores_gemma":[0.9577181,0.02531377,0.006079486,0.004290199,0.0005418826,0.0001342094,0.0003192685,0.00008993127,0.005513213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00189648,"threshold_uncertainty_score":0.006344318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072790158136744,"score_gpt":0.2443354220257399,"score_spread":0.2236075204443724,"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."}}