{"id":"W4206435550","doi":"10.5539/gjhs.v13n10p115","title":"Reviewer Acknowledgements for Global Journal of Health Science, Vol. 13, No. 10","year":2021,"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; Political science; Engineering ethics; Psychology; Medicine; Medical education; Computer science; Engineering; Health care; Law","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":[0.09643011,0.0002716562,0.001358578,0.0005414108,0.001710793,0.002428217,0.009185879,0.0001015171,0.0003711877],"category_scores_gemma":[0.1990485,0.0001840087,0.0003922768,0.01034483,0.002003156,0.007102455,0.0009463447,0.0005982501,0.000186321],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002270716,"about_ca_system_score_gemma":0.04000261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003619736,"about_ca_topic_score_gemma":0.00002990703,"domain_scores_codex":[0.9835305,0.0004207554,0.004909266,0.0007763394,0.008861329,0.00150178],"domain_scores_gemma":[0.8461456,0.0003231585,0.008683138,0.0008401684,0.142151,0.001857003],"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":[0.00004295007,0.0001337391,0.04570679,0.00004654915,0.000009974407,0.000007949995,0.00005297531,0.00005797346,0.000007602887,0.0004648821,0.7634798,0.1899888],"study_design_scores_gemma":[0.002268169,0.001346675,0.1309583,0.001397961,0.00002752702,0.001039261,0.001649614,0.0005984324,0.0001094664,0.02617621,0.8340323,0.0003960923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.3040727,0.1432015,0.08835252,0.06623998,0.369327,0.00258931,0.0003852015,0.00006723664,0.02576455],"genre_scores_gemma":[0.8479246,0.009050177,0.08824286,0.03337571,0.01492158,0.00001126101,0.000005605055,0.00004751723,0.006420707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5438519,"threshold_uncertainty_score":0.9995888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1111255733092937,"score_gpt":0.4865180250769347,"score_spread":0.375392451767641,"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."}}