{"id":"W4404468911","doi":"10.1159/000541998","title":"Acknowledgement to Reviewers","year":2024,"lang":"en","type":"article","venue":"Blood Purification","topic":"Hemoglobin structure and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acknowledgement; Medicine; Intensive care medicine; Computer science; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01900902,0.002439057,0.002260474,0.006974696,0.004451098,0.01799887,0.00512849,0.006461273,0.2957515],"category_scores_gemma":[0.1863576,0.000927753,0.001465594,0.004031802,0.00252752,0.01084132,0.008030331,0.008302207,0.2175972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006836518,"about_ca_system_score_gemma":0.01588562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00300747,"about_ca_topic_score_gemma":0.003882348,"domain_scores_codex":[0.9696191,0.008645586,0.003535878,0.004575802,0.01161205,0.002011719],"domain_scores_gemma":[0.7846196,0.02093734,0.007977206,0.01134785,0.1585231,0.01659478],"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":[0.00001831086,0.000004894499,0.00005168446,0.0001489549,0.000004009862,0.0000509203,0.000137417,0.0000121428,0.00003962584,0.001115813,0.9869399,0.0114763],"study_design_scores_gemma":[0.000006892601,0.000005721893,0.00008134441,0.0002779097,0.000004751567,0.0001195429,0.0002322754,0.00002095536,0.00003782112,0.000785438,0.9984164,0.00001082972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000467557,0.01563077,0.004211996,0.2372241,0.6474203,0.0006771903,0.003193427,0.002257551,0.08891705],"genre_scores_gemma":[0.011321,0.01936319,0.00771932,0.1563899,0.2255453,0.001822751,0.005629899,0.004426977,0.5677818],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2957515,"threshold_uncertainty_score":0.9893873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008434287312915088,"score_gpt":0.2614409299272296,"score_spread":0.2530066426143145,"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."}}