{"id":"W4392387523","doi":"10.5194/gmd-2023-151-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":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002105803,0.0009014721,0.0008683205,0.001022527,0.002733456,0.004114732,0.002741835,0.01728967,0.2750955],"category_scores_gemma":[0.02144096,0.000491041,0.001177314,0.0007464635,0.001658384,0.003076651,0.002478177,0.01434525,0.202633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003329325,"about_ca_system_score_gemma":0.00311086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008974115,"about_ca_topic_score_gemma":0.01025427,"domain_scores_codex":[0.9979164,0.0003157242,0.0001829409,0.0003940558,0.0008188795,0.0003719009],"domain_scores_gemma":[0.9944536,0.001285561,0.000187632,0.0004387876,0.002669368,0.0009650811],"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":[0.000008689913,0.000002975211,0.00002321499,0.00001102535,0.000001052876,0.00003779275,0.000006968829,0.000003301976,0.00001945113,0.00025151,0.9976408,0.001993189],"study_design_scores_gemma":[0.00000762575,0.000005274933,0.0001181467,0.00003193359,0.000001541895,0.00003777312,0.00003719102,0.00001548826,0.00005020263,0.0002905329,0.9993989,0.000005386035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0003197531,0.001535379,0.0004358831,0.644291,0.2650167,0.0001935812,0.001426154,0.001016684,0.08576494],"genre_scores_gemma":[0.003240851,0.001071045,0.0002949487,0.5788071,0.06999782,0.0002554151,0.0005719772,0.000521343,0.3452395],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7249045,"threshold_uncertainty_score":0.9202862,"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."}}