{"id":"W4416087552","doi":"10.1159/000549086","title":"Acknowledgement to Reviewers","year":2025,"lang":"en","type":"article","venue":"Acta Haematologica","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acknowledgement; MEDLINE; Alternative medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003433544,0.0001012515,0.0002185185,0.00009200058,0.0002806867,0.0002013511,0.0003315792,0.00005180622,0.002270355],"category_scores_gemma":[0.0006847525,0.00007735253,0.0000583162,0.00007550556,0.00006439225,0.000143575,0.0001388661,0.0001672083,0.0005447696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002323118,"about_ca_system_score_gemma":0.00002464462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002487173,"about_ca_topic_score_gemma":0.00005582837,"domain_scores_codex":[0.9992056,0.00004555295,0.0002259943,0.000201917,0.00009774711,0.0002231365],"domain_scores_gemma":[0.999472,0.0001172975,0.00004545831,0.000199609,0.0001120059,0.00005363759],"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":[0.000003593853,0.00001388961,0.0001219953,0.00005467711,0.00001078634,0.000002551801,0.001970889,1.794585e-7,0.000007145224,0.3463342,0.6471977,0.004282424],"study_design_scores_gemma":[0.00006187532,0.00001853779,0.00008012538,0.0001838122,0.00001482121,0.000001478924,0.001611328,0.000004782794,0.0000381893,0.00377494,0.9941143,0.00009578279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03028362,0.00109294,0.00005268122,0.02674547,0.001101756,0.0002439838,0.000005686768,0.0002241517,0.9402497],"genre_scores_gemma":[0.9520814,0.00008108628,0.0002437419,0.008812296,0.0002978072,0.00005126508,0.000006204782,0.000006370203,0.03841977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9217978,"threshold_uncertainty_score":0.9986417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03160762225151482,"score_gpt":0.2799855209171339,"score_spread":0.248377898665619,"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."}}