{"id":"W4391381368","doi":"10.5194/egusphere-2023-2225-ac2","title":"Reply on RC2","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Clinical Nutrition and Gastroenterology","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002767863,0.001011027,0.001075374,0.0009896862,0.003249824,0.004958489,0.00353593,0.028588,0.1488409],"category_scores_gemma":[0.0236563,0.0006437786,0.001576791,0.0008701932,0.002368573,0.004267655,0.00289088,0.02542929,0.1164247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003709917,"about_ca_system_score_gemma":0.003601996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00903107,"about_ca_topic_score_gemma":0.01031666,"domain_scores_codex":[0.9974686,0.0004562203,0.0002402529,0.0005223889,0.0009003709,0.000412168],"domain_scores_gemma":[0.9944313,0.001919453,0.0002185439,0.0004529518,0.002064957,0.0009127411],"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":[0.00001005786,0.000003709197,0.00002872116,0.00001355718,0.000001667398,0.00005233598,0.00000946578,0.00000548096,0.00002300732,0.0004542034,0.9973665,0.002031282],"study_design_scores_gemma":[0.000009985903,0.000005653265,0.0001449024,0.00004330891,0.000002476632,0.0000443813,0.00004701017,0.00002258409,0.00005884717,0.0005752714,0.9990368,0.000008696297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0002045457,0.001893036,0.0002324392,0.7811273,0.1835579,0.0000971024,0.0005821151,0.0003428641,0.0319628],"genre_scores_gemma":[0.001922643,0.000867672,0.0002027753,0.8261391,0.04668372,0.0001478031,0.0001789371,0.0002058505,0.1236515],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.851159,"threshold_uncertainty_score":0.4979226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06538174524723528,"score_gpt":0.3919166518461711,"score_spread":0.3265349065989359,"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."}}