{"id":"W4254504867","doi":"10.5539/gjhs.v11n7p192","title":"Reviewer Acknowledgements for Global Journal of Health Science, Vol. 11, No. 7","year":2019,"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; Psychology; Library science; Gerontology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1108085,0.000276199,0.001392281,0.000705266,0.001202718,0.001942574,0.01148365,0.00009926916,0.000209659],"category_scores_gemma":[0.09162179,0.0001776196,0.0003598247,0.008031322,0.001341127,0.008378279,0.000791363,0.0005402663,0.0003156711],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002347271,"about_ca_system_score_gemma":0.0235225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004475019,"about_ca_topic_score_gemma":0.00001397963,"domain_scores_codex":[0.9836113,0.0003094554,0.004796695,0.0007352826,0.009005968,0.001541337],"domain_scores_gemma":[0.9067805,0.0002949022,0.00983593,0.0008360264,0.08063623,0.001616383],"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":[0.00004961449,0.0001065262,0.2664904,0.00005931171,0.000007776048,0.000001713907,0.00006001676,0.00008191164,0.000009242044,0.000734244,0.6115857,0.1208136],"study_design_scores_gemma":[0.002650305,0.002025512,0.2671904,0.001485628,0.0000201872,0.0004816416,0.001153386,0.0008750153,0.00004781132,0.02117398,0.7024792,0.0004168742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6931759,0.02543671,0.0240454,0.01711936,0.2284559,0.002354276,0.0001382565,0.00003313576,0.009241163],"genre_scores_gemma":[0.9604848,0.001461958,0.02169416,0.01062515,0.004379996,0.000003784552,0.000001087275,0.00001793068,0.001331118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.267309,"threshold_uncertainty_score":0.9990935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09106711719007288,"score_gpt":0.4765778164973531,"score_spread":0.3855106993072803,"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."}}