{"id":"W4389918122","doi":"10.5194/egusphere-2023-1512-ac4","title":"Reply on RC2","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Clinical Nutrition and Gastroenterology","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","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":[0.00358293,0.0009651888,0.001088842,0.001000002,0.002949152,0.004515405,0.003715588,0.03522159,0.07096229],"category_scores_gemma":[0.03179225,0.0006999029,0.00155937,0.0008517847,0.002482106,0.004102681,0.002482871,0.03303147,0.0677335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003879209,"about_ca_system_score_gemma":0.003890121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00878458,"about_ca_topic_score_gemma":0.008853273,"domain_scores_codex":[0.997061,0.0005628282,0.0003546358,0.000551811,0.001052393,0.0004173304],"domain_scores_gemma":[0.9906061,0.00354696,0.0003791119,0.000602149,0.003545956,0.001319775],"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":[0.00001405569,0.000004794973,0.00004883099,0.00001684956,0.000002651195,0.00007041903,0.00001229787,0.000007031068,0.00003012458,0.0003104465,0.997546,0.001936429],"study_design_scores_gemma":[0.00002026423,0.00001190118,0.0003193006,0.00007631248,0.000005934401,0.0001188169,0.00008754018,0.00004943715,0.0001246456,0.0008571571,0.9983095,0.0000191288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001922611,0.00132343,0.0002242762,0.8487599,0.1382293,0.00006679008,0.0003812939,0.0002211783,0.01060154],"genre_scores_gemma":[0.001713736,0.0006862723,0.0001753716,0.9196087,0.04603804,0.0001055577,0.0001216334,0.0001239122,0.03142676],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07096229,"threshold_uncertainty_score":0.2373925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09264857060490032,"score_gpt":0.4000419128775329,"score_spread":0.3073933422726325,"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."}}