{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04377836,0.002719293,0.006825965,0.005890731,0.004507209,0.009297171,0.00538784,0.01741773,0.08598503],"category_scores_gemma":[0.4408805,0.00151289,0.00434343,0.002792654,0.003493723,0.006005574,0.003538781,0.01254535,0.0578907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004889246,"about_ca_system_score_gemma":0.01192787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005380759,"about_ca_topic_score_gemma":0.009562343,"domain_scores_codex":[0.9492409,0.00953356,0.01011736,0.003108473,0.02598276,0.002016916],"domain_scores_gemma":[0.2420879,0.03469311,0.0123334,0.005598087,0.6945886,0.01069894],"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":[0.00002978728,0.000003460862,0.00005740034,0.0003400984,0.000007716525,0.00004261025,0.00002423105,0.000007281631,0.00002742765,0.00008377994,0.9969327,0.002443412],"study_design_scores_gemma":[0.0002788425,0.00005171451,0.0009812871,0.003868146,0.0001022643,0.0007624883,0.0003446342,0.0003197326,0.0002928477,0.001382463,0.9914715,0.0001441421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001080218,0.001804996,0.0008886063,0.1752343,0.8170589,0.0007824506,0.0007873299,0.0004480685,0.002887247],"genre_scores_gemma":[0.003641928,0.005363673,0.002914328,0.2619132,0.6590464,0.003567742,0.001583528,0.0009783935,0.0609908],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.08598503,"threshold_uncertainty_score":0.2876486,"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."}}