{"id":"W4391253171","doi":"10.5194/egusphere-2023-2264-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 Saskatchewan","funders":"Canadian Space Agency; Tekes; Centre National d’Etudes Spatiales","keywords":"Computer science","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":[0.004174021,0.0008953363,0.0009848248,0.001091794,0.003116342,0.004495878,0.003140433,0.02538945,0.08460592],"category_scores_gemma":[0.03818496,0.0005067668,0.001255749,0.0009741677,0.002333186,0.0045516,0.002508852,0.02283448,0.08099694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003803822,"about_ca_system_score_gemma":0.004994001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008611826,"about_ca_topic_score_gemma":0.009691135,"domain_scores_codex":[0.9965991,0.0006323589,0.0003794219,0.000615546,0.00127355,0.0004999717],"domain_scores_gemma":[0.9888616,0.003157611,0.000349837,0.0007626576,0.005126663,0.001741618],"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":[0.000007094673,0.000002795531,0.0000388586,0.00001232945,0.000001423611,0.00005877774,0.00001647933,0.000003678218,0.00001973565,0.0003358169,0.9977885,0.001714248],"study_design_scores_gemma":[0.000008301643,0.000006589995,0.0002296331,0.00005312355,0.000003093825,0.0001152734,0.0001106027,0.00001614476,0.00006340793,0.0006034536,0.9987796,0.00001071867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001781764,0.001199904,0.0001491731,0.8721838,0.1129991,0.00004621617,0.0003042012,0.0001865836,0.01275282],"genre_scores_gemma":[0.001968918,0.0009061975,0.0001924559,0.8882575,0.04408236,0.0001000873,0.0001566598,0.0001648904,0.06417093],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08460592,"threshold_uncertainty_score":0.283035,"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."}}