{"id":"W4368368313","doi":"10.5539/gjhs.v15n4p58","title":"Reviewer Acknowledgements for Global Journal of Health Science, Vol. 15, No. 4","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; Global health; Political science; Medicine; Medical education; Computer science; 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":[0.1363149,0.0002669914,0.001270771,0.001048814,0.001903507,0.002003663,0.01130138,0.00009530623,0.0001064691],"category_scores_gemma":[0.1578697,0.0001748641,0.0003558554,0.01636555,0.001702224,0.007093636,0.0009556336,0.0005785146,0.0003939767],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002044709,"about_ca_system_score_gemma":0.0227652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003310925,"about_ca_topic_score_gemma":0.00001228499,"domain_scores_codex":[0.982788,0.0003273834,0.004899354,0.0007198341,0.009520558,0.001744848],"domain_scores_gemma":[0.9101692,0.0003749713,0.008713236,0.000754499,0.07818791,0.001800197],"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":[0.00003436825,0.00005920669,0.06022599,0.00003963907,0.000007088034,0.000003728056,0.00006492101,0.00008902655,0.000004714811,0.0003730377,0.7661759,0.1729223],"study_design_scores_gemma":[0.002051688,0.001672642,0.3145092,0.00130149,0.00002107125,0.0004056002,0.00157833,0.00145207,0.00003319478,0.04031098,0.6362671,0.0003966609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4794602,0.03897817,0.04535969,0.05031236,0.3713359,0.003234176,0.000364042,0.000135138,0.01082027],"genre_scores_gemma":[0.933569,0.00633464,0.02847956,0.01780872,0.0113362,0.00001273298,0.000003955373,0.00003917315,0.002416064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4541087,"threshold_uncertainty_score":0.9993959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1324062262476738,"score_gpt":0.4986235202378357,"score_spread":0.366217293990162,"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."}}