{"id":"W4408128735","doi":"10.1210/clinem/dgaf142","title":"Fiber Intervention Study in Prader-Willi Syndrome: Insights into Metabolic and Microbiota Shifts","year":2025,"lang":"en","type":"article","venue":"The Journal of Clinical Endocrinology & Metabolism","topic":"Genetic Syndromes and Imprinting","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"Chinese University of Hong Kong; Weston Family Foundation","keywords":"Crossover study; Randomized controlled trial; Fiber; Intervention (counseling); Crossover; Medicine; Biology; Internal medicine; Computer science; Materials science; Alternative medicine; Nursing; Composite material; Pathology; Artificial intelligence","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":[0.00101191,0.000565053,0.0006204075,0.0002385697,0.0003242531,0.0002206119,0.0001807316,0.0004837709,0.001665735],"category_scores_gemma":[0.0007775056,0.0001621987,0.0005389634,0.000208606,0.0002870461,0.0002388681,0.0004556711,0.0004916176,0.0001237932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000307021,"about_ca_system_score_gemma":0.0007562144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001942806,"about_ca_topic_score_gemma":0.004101643,"domain_scores_codex":[0.9996192,0.0002069511,0.00003267579,0.00006203532,0.00004097896,0.00003811131],"domain_scores_gemma":[0.9995773,0.00008941875,0.00009306072,0.00003910464,0.00005498673,0.0001461598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2739973,0.04742606,0.2887572,0.002934213,0.00691997,0.001354661,0.001463131,0.0007685777,0.1228101,0.0004637883,0.001101575,0.2520034],"study_design_scores_gemma":[0.0168956,0.2445453,0.7196543,0.0003235661,0.002445903,0.000646168,0.00053723,0.0007592236,0.009811399,0.0002389347,0.004095862,0.00004655689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982926,0.0009346474,0.0002125942,0.00009606483,0.00002194355,0.0001549167,0.00007454708,0.00000660253,0.0002061318],"genre_scores_gemma":[0.9956443,0.001330025,0.001476,0.0001893058,0.00002933014,0.0004090008,0.000174116,0.000003415215,0.0007444539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001942806,"threshold_uncertainty_score":0.005572438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961927069978049,"score_gpt":0.3457885065733603,"score_spread":0.3261692358735798,"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."}}