{"id":"W4410720293","doi":"10.5194/egusphere-2025-975-ac2","title":"Reply on RC2","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Clinical Nutrition and Gastroenterology","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002035696,0.0009440567,0.000957683,0.0009711925,0.003130183,0.0038869,0.003028834,0.02140439,0.2026995],"category_scores_gemma":[0.01971946,0.0005892947,0.001284426,0.0008423514,0.001970292,0.003654679,0.002551297,0.01965012,0.1549526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003297879,"about_ca_system_score_gemma":0.003199227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01217704,"about_ca_topic_score_gemma":0.01548846,"domain_scores_codex":[0.9980287,0.0003177816,0.0001971961,0.0003708996,0.0007479435,0.0003374201],"domain_scores_gemma":[0.9948343,0.001330544,0.0001729731,0.0003505898,0.00238342,0.0009281459],"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":[0.000007136382,0.000003238934,0.00002821872,0.00001126874,0.000001121652,0.00005671577,0.000009872713,0.000003536652,0.00001704982,0.0002297944,0.9976245,0.002007565],"study_design_scores_gemma":[0.000006765726,0.000005045913,0.0001343651,0.00003584138,0.000001665318,0.00005520548,0.00006411188,0.00001476196,0.00003874642,0.0002814267,0.9993554,0.00000667448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0002800313,0.001761129,0.0002818374,0.7025719,0.2356377,0.0001542727,0.0006812167,0.0006257202,0.05800625],"genre_scores_gemma":[0.00223336,0.0009074211,0.000211853,0.7184138,0.04646197,0.0001799943,0.0002244742,0.000280775,0.2310864],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7973005,"threshold_uncertainty_score":0.6780973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05460752066177657,"score_gpt":0.3894730870193023,"score_spread":0.3348655663575257,"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."}}