{"id":"W4235032095","doi":"10.5539/gjhs.v11n1p182","title":"Reviewer Acknowledgements for Global Journal of Health Science, Vol. 11, No. 1","year":2018,"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; Engineering ethics; Medicine; Medical education; Health care; Computer science; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05069639,0.002790519,0.00722212,0.006836674,0.004777793,0.009410487,0.005795242,0.01858996,0.07963412],"category_scores_gemma":[0.5115345,0.001592641,0.004671415,0.003157081,0.003660525,0.007134907,0.00399567,0.01352454,0.0484678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005676608,"about_ca_system_score_gemma":0.01261795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005048093,"about_ca_topic_score_gemma":0.008956936,"domain_scores_codex":[0.9419343,0.01183946,0.01267587,0.003645057,0.02756429,0.002340987],"domain_scores_gemma":[0.2150559,0.0402831,0.01509315,0.006623648,0.713053,0.009891219],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003198909,0.000003698231,0.0000667977,0.0004880358,0.000009358545,0.00004740996,0.0000329944,0.000007999943,0.00002793282,0.0001025127,0.9963676,0.00281377],"study_design_scores_gemma":[0.0002820744,0.00005094347,0.0009974899,0.005459757,0.0001197634,0.0008998663,0.0004078585,0.0003066562,0.0002864711,0.001663732,0.9893723,0.0001530936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.000112413,0.00231592,0.0008398996,0.2037815,0.7884859,0.0007844434,0.0007780561,0.0003920071,0.002509853],"genre_scores_gemma":[0.003792774,0.006024298,0.002929553,0.276629,0.6615067,0.00385851,0.001443935,0.0009170705,0.04289835],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9493036,"threshold_uncertainty_score":0.2681113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1159003217251761,"score_gpt":0.495031744224849,"score_spread":0.3791314224996729,"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."}}