{"id":"W4324134092","doi":"10.5539/gjhs.v15n3p66","title":"Reviewer Acknowledgements for Global Journal of Health Science, Vol. 15, No. 3","year":2023,"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; Library science; Medicine; Gerontology; 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":[0.1362323,0.0002669751,0.001270509,0.001048388,0.001902681,0.002002733,0.0112942,0.00009529918,0.0001080516],"category_scores_gemma":[0.1595129,0.0001748351,0.0003558313,0.01636735,0.001701957,0.007092736,0.0009553155,0.0005785302,0.0004011423],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002051597,"about_ca_system_score_gemma":0.02283834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003336836,"about_ca_topic_score_gemma":0.0000122411,"domain_scores_codex":[0.9827887,0.000327431,0.004897981,0.0007197935,0.009521372,0.00174473],"domain_scores_gemma":[0.9087913,0.0003750527,0.00872852,0.0007555844,0.07954602,0.001803537],"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":[0.00003399427,0.00005906852,0.06000461,0.00003983699,0.0000070745,0.00000370972,0.00006474093,0.00008995557,0.00000476984,0.0003608695,0.7666184,0.172713],"study_design_scores_gemma":[0.002025384,0.001621364,0.3082592,0.001277692,0.0000205937,0.0003954286,0.001548591,0.001424176,0.00003325401,0.0393129,0.6436912,0.000390146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4792092,0.03868638,0.0449165,0.05017412,0.3724983,0.003217761,0.0003654188,0.0001343945,0.01079794],"genre_scores_gemma":[0.9322878,0.006444016,0.02894414,0.01809905,0.0116337,0.00001295197,0.00000402163,0.00003985813,0.002534508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4530786,"threshold_uncertainty_score":0.9993967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1314608506490073,"score_gpt":0.4980971105301518,"score_spread":0.3666362598811445,"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."}}