{"id":"W4387298365","doi":"10.5539/gjhs.v15n10p99","title":"Reviewer Acknowledgements for Global Journal of Health Science, Vol. 15, No. 10","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; Global health; Library science; Medicine; Gerontology; Medical education; Public health; Computer science; Nursing","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":[0.1338675,0.0002747137,0.001283082,0.00105041,0.00191791,0.002054988,0.01137977,0.00009990048,0.000221913],"category_scores_gemma":[0.1764733,0.0001804491,0.0003617475,0.01621545,0.001717371,0.007084366,0.0009769285,0.0005579359,0.0006019509],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002033623,"about_ca_system_score_gemma":0.02292633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002960859,"about_ca_topic_score_gemma":0.00001202511,"domain_scores_codex":[0.9827152,0.0003341825,0.004903778,0.0007382969,0.009543234,0.001765335],"domain_scores_gemma":[0.8984352,0.0003919101,0.008820758,0.0007821919,0.08971316,0.001856724],"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":[0.00004126877,0.00005948288,0.03717277,0.00003875641,0.000006989696,0.000003605113,0.00005646319,0.00008273529,0.000004246577,0.0002761423,0.803921,0.1583365],"study_design_scores_gemma":[0.001834857,0.001588799,0.2071185,0.001107915,0.00001900921,0.0003283558,0.001232456,0.001312699,0.00002814376,0.028795,0.7562786,0.0003557121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4532206,0.04292035,0.03903884,0.05562956,0.3881637,0.003701497,0.0004375831,0.0001604032,0.01672745],"genre_scores_gemma":[0.9128931,0.007393654,0.03574482,0.02139357,0.01528956,0.00001828337,0.000006362957,0.00005593727,0.007204668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4596725,"threshold_uncertainty_score":0.9993815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1313930269911507,"score_gpt":0.4975625878356079,"score_spread":0.3661695608444572,"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."}}