{"id":"W4403934372","doi":"10.5194/egusphere-2024-1651-ac1","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":"Environment and Climate Change Canada","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002642418,0.0009613865,0.00099755,0.001001505,0.002943834,0.0046815,0.003390901,0.02203013,0.2167301],"category_scores_gemma":[0.02177461,0.0005367683,0.001373405,0.0008856829,0.001880532,0.003584381,0.00254242,0.01882518,0.173889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003486638,"about_ca_system_score_gemma":0.003461864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006795781,"about_ca_topic_score_gemma":0.009380871,"domain_scores_codex":[0.9974963,0.0004126111,0.0002202363,0.0005019304,0.0009735003,0.0003953927],"domain_scores_gemma":[0.9944738,0.001475814,0.0001902641,0.0005204421,0.002366113,0.0009735869],"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":[0.000009455365,0.000003972747,0.00002638606,0.00001259234,0.000001317878,0.0000385415,0.000006998502,0.000004276058,0.00001884269,0.0003925429,0.9974032,0.00208188],"study_design_scores_gemma":[0.000008820342,0.000005943327,0.0001408051,0.00003730822,0.000001727289,0.00003208511,0.00003909108,0.0000152256,0.00004513778,0.0003871131,0.9992811,0.00000567483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0002649235,0.002060964,0.0003065744,0.6586753,0.2646268,0.000179137,0.0009595392,0.0005680881,0.07235864],"genre_scores_gemma":[0.002396158,0.0009918589,0.0002573775,0.66193,0.05889738,0.0002321981,0.0003174914,0.0002800344,0.2746975],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7832699,"threshold_uncertainty_score":0.7250345,"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."}}