{"id":"W4393928071","doi":"10.5194/amt-2023-265-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":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","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":[0.002682466,0.001040586,0.001141885,0.001083377,0.003467379,0.004432982,0.003644986,0.02779465,0.1344439],"category_scores_gemma":[0.0237411,0.0006234626,0.001617424,0.00082307,0.002365106,0.004352863,0.002815605,0.02700235,0.107585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003896975,"about_ca_system_score_gemma":0.003534139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006970809,"about_ca_topic_score_gemma":0.008767539,"domain_scores_codex":[0.9973873,0.0004854463,0.0002582147,0.0004952957,0.0009662118,0.0004074875],"domain_scores_gemma":[0.9936444,0.001749875,0.0002424009,0.0004440435,0.002751425,0.001167985],"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":[0.00001052901,0.000004055345,0.00003269374,0.00001340026,0.000001868005,0.00007535226,0.00001003132,0.000004149595,0.00002304281,0.000256878,0.9978016,0.001766436],"study_design_scores_gemma":[0.00001318648,0.000008777045,0.0001773488,0.00005075282,0.000003671442,0.0001008086,0.000067703,0.0000244393,0.00007197914,0.0005567225,0.9989142,0.00001031925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0002464821,0.001552715,0.0002304978,0.7573566,0.2139606,0.00009652542,0.0004996294,0.0004499511,0.02560701],"genre_scores_gemma":[0.001957723,0.0007516039,0.0002006878,0.8389212,0.05931361,0.0001287526,0.0001946584,0.0002080762,0.0983237],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1344439,"threshold_uncertainty_score":0.4497597,"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."}}