{"id":"W4391540535","doi":"10.5194/egusphere-2023-2920-ac2","title":"Reply to 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":"","funders":"Canadian Space Agency; Norges Forskningsråd; European Commission; Trond Mohn stiftelse","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005736681,0.001303717,0.001503239,0.001363219,0.004794955,0.007625785,0.004410536,0.04121397,0.07044489],"category_scores_gemma":[0.05134932,0.0009476705,0.001562305,0.001382441,0.004298345,0.006903325,0.003886553,0.04299825,0.05494628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006646079,"about_ca_system_score_gemma":0.007769493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01075274,"about_ca_topic_score_gemma":0.009959214,"domain_scores_codex":[0.9946556,0.001047844,0.0004243262,0.001291481,0.001742796,0.0008379274],"domain_scores_gemma":[0.9847933,0.006245942,0.0006201027,0.001100718,0.005230142,0.002009858],"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":[0.00001049572,0.000003545633,0.00004341704,0.00001997646,0.000002892511,0.00005453955,0.00003203488,0.000007338955,0.00002383186,0.0008538372,0.9971034,0.001844695],"study_design_scores_gemma":[0.00001377121,0.000007048003,0.0002509097,0.00007361158,0.000005451762,0.0001102971,0.000143943,0.00004417733,0.0001060965,0.001465183,0.9977596,0.00001982744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0001297971,0.001283626,0.0001217225,0.9112432,0.07933839,0.00002462458,0.0001796339,0.0001033885,0.00757562],"genre_scores_gemma":[0.002035602,0.0006265534,0.0001457984,0.936547,0.0317837,0.00008039118,0.00006932883,0.0001219684,0.02858967],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9295551,"threshold_uncertainty_score":0.2356616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06180981407094513,"score_gpt":0.3953595746354984,"score_spread":0.3335497605645532,"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."}}