{"id":"W4410929204","doi":"10.5539/gjhs.v17n3p77","title":"Reviewer Acknowledgements for Global Journal of Health Science, Vol. 17, No. 3","year":2025,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health science; Psychology; Library science; Medicine; Medical education; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1095988,0.0002646816,0.001318983,0.0009690088,0.001854158,0.002066513,0.01158582,0.00009949508,0.00009543428],"category_scores_gemma":[0.1455002,0.0001735352,0.0003485384,0.01188298,0.001826939,0.006366405,0.0008945612,0.000607683,0.00006951972],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002729608,"about_ca_system_score_gemma":0.03385527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003722735,"about_ca_topic_score_gemma":0.00001461755,"domain_scores_codex":[0.9853706,0.0003144628,0.005096301,0.0007022535,0.007081689,0.001434708],"domain_scores_gemma":[0.8964843,0.0003538685,0.008267921,0.0007890805,0.09277388,0.001330972],"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":[0.00004491927,0.00008948322,0.06502992,0.00004464398,0.000009217711,0.000001481468,0.00003351157,0.00005228987,0.000003271809,0.001006375,0.736483,0.1972019],"study_design_scores_gemma":[0.001914726,0.001023441,0.1832525,0.001745497,0.00002518019,0.0001847206,0.0008266979,0.0005968072,0.00003557149,0.04640738,0.763712,0.0002753968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.1784377,0.09765308,0.2022646,0.06862579,0.4036448,0.003806673,0.0002772418,0.00007268999,0.04521737],"genre_scores_gemma":[0.867393,0.005594549,0.06485886,0.04767732,0.008328681,0.00001419229,0.000002373794,0.00002833491,0.006102698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6889552,"threshold_uncertainty_score":0.9994453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09010446698987988,"score_gpt":0.4929658948278186,"score_spread":0.4028614278379387,"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."}}