{"id":"W4255713044","doi":"10.5539/gjhs.v12n10p141","title":"Reviewer Acknowledgements for Global Journal of Health Science, Vol. 12, No. 10","year":2020,"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; Engineering ethics; Political science; Medicine; Computer science; Medical education; Engineering","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":[0.07781707,0.000281083,0.00136943,0.0004402848,0.001514841,0.002009382,0.01168948,0.00009257526,0.0002684037],"category_scores_gemma":[0.1897426,0.0001847804,0.0003609022,0.008088056,0.001623486,0.007341366,0.0008787184,0.0006239082,0.0002397421],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001671591,"about_ca_system_score_gemma":0.02336606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002193591,"about_ca_topic_score_gemma":0.000007111039,"domain_scores_codex":[0.9837903,0.0003265781,0.004943728,0.0007612976,0.008738404,0.001439647],"domain_scores_gemma":[0.9005458,0.0002845556,0.01034633,0.0006464171,0.08525369,0.002923152],"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":[0.00008339245,0.00007351092,0.03993761,0.00005076951,0.000008091932,0.000003046033,0.0001010273,0.00006719995,0.000006286675,0.0002602447,0.8017814,0.1576275],"study_design_scores_gemma":[0.002234585,0.002713255,0.08412267,0.0008278726,0.0000235699,0.0002762828,0.001070177,0.001474747,0.00004000571,0.01115249,0.8956955,0.0003688655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.2448487,0.07992847,0.1686127,0.1736275,0.3000494,0.00500892,0.0005180872,0.0001230116,0.02728321],"genre_scores_gemma":[0.8835231,0.002958204,0.04898629,0.0504755,0.01290037,0.000007157551,0.000002258032,0.0000326693,0.001114428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6386744,"threshold_uncertainty_score":0.9997851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1414753777266002,"score_gpt":0.4805265421244977,"score_spread":0.3390511643978976,"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."}}