{"id":"W4388716459","doi":"10.5539/gjhs.v15n11p54","title":"Reviewer Acknowledgements for Global Journal of Health Science, Vol. 15, No. 11","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; Gerontology; Political 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":[0.1344862,0.0002766011,0.001297235,0.001063612,0.001944817,0.002031267,0.01145031,0.00009859008,0.0001080461],"category_scores_gemma":[0.151713,0.0001816935,0.0003643602,0.01640171,0.001725503,0.007205998,0.0009824887,0.0005412213,0.0003484313],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00204339,"about_ca_system_score_gemma":0.02251245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004940223,"about_ca_topic_score_gemma":0.00002454625,"domain_scores_codex":[0.9825879,0.000338651,0.004951084,0.0007423775,0.009587661,0.001792343],"domain_scores_gemma":[0.9128144,0.000376897,0.008697881,0.0007673394,0.07550349,0.00184],"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":[0.00002880332,0.00006200671,0.09937038,0.00004124564,0.000006200431,0.000004038113,0.00006611864,0.00008968521,0.0000042571,0.0004317172,0.7666867,0.1332089],"study_design_scores_gemma":[0.001857665,0.001314809,0.3296002,0.001187592,0.00001960949,0.0003736905,0.001498674,0.001286123,0.00002945309,0.03069556,0.631772,0.0003646057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5701381,0.02848722,0.03718571,0.0452308,0.3088591,0.002795498,0.0003204218,0.000118382,0.006864802],"genre_scores_gemma":[0.9392828,0.005135035,0.02626428,0.01656059,0.01044881,0.00001235006,0.000003880899,0.00003791794,0.002254324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3691447,"threshold_uncertainty_score":0.9993545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1310064823092911,"score_gpt":0.4956988457560975,"score_spread":0.3646923634468064,"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."}}