{"id":"W4410391274","doi":"10.1016/j.ajcnut.2025.03.019","title":"Reply to Obbagy and Stoody","year":2025,"lang":"en","type":"letter","venue":"American Journal of Clinical Nutrition","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Public Health; Dalhousie University; University of Ottawa; Ottawa Hospital","funders":"","keywords":"Computer science","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":[0.02350342,0.001519112,0.004158198,0.002376102,0.005742033,0.009082248,0.003368512,0.1010924,0.008899978],"category_scores_gemma":[0.1503215,0.002120498,0.002466652,0.002480452,0.00512582,0.005938597,0.004297488,0.06915715,0.009754373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006290337,"about_ca_system_score_gemma":0.01031332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009318377,"about_ca_topic_score_gemma":0.01501389,"domain_scores_codex":[0.9845105,0.005534919,0.002782989,0.00192508,0.003891673,0.00135483],"domain_scores_gemma":[0.9010658,0.06811707,0.00680746,0.002441058,0.01223745,0.009331184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006458441,0.000009591864,0.0003428849,0.00007684795,0.00004491325,0.0002750187,0.00008765847,0.00002382474,0.00004473081,0.0007722028,0.9956387,0.00261912],"study_design_scores_gemma":[0.0006023728,0.00009033387,0.002039825,0.001758723,0.0003014959,0.001251359,0.0007030038,0.0006353597,0.0002739605,0.01374043,0.9784259,0.0001772802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00007464298,0.0009961324,0.00006016162,0.9786023,0.01968723,0.00001203228,0.00006008129,0.00001393957,0.0004936088],"genre_scores_gemma":[0.0004685695,0.0003287657,0.0001049819,0.9796984,0.01843877,0.00002960816,0.00001341575,0.0000115172,0.0009058075],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1010924,"threshold_uncertainty_score":0.1242995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6973303675077057,"score_gpt":0.6045384001371542,"score_spread":0.09279196737055151,"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."}}