{"id":"W4236795348","doi":"10.5539/gjhs.v13n6p145","title":"Reviewer Acknowledgements for Global Journal of Health Science, Vol. 13, No. 6","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; Library science; Global health; Political science; Engineering ethics; Medicine; Medical education; Computer science; Health care; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0978603,0.0002639965,0.001346634,0.0005354474,0.001695021,0.002372259,0.009093824,0.00009687196,0.0001778125],"category_scores_gemma":[0.1794739,0.0001783677,0.0003862911,0.01037655,0.001990864,0.00711044,0.0009254139,0.0006210447,0.0001196609],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002285212,"about_ca_system_score_gemma":0.04007423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004134863,"about_ca_topic_score_gemma":0.00003158964,"domain_scores_codex":[0.9836128,0.000413557,0.004904568,0.0007574216,0.008830658,0.001480967],"domain_scores_gemma":[0.8616502,0.0003096771,0.008615756,0.0008148592,0.1268003,0.001809147],"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":[0.00003719537,0.0001417412,0.07744422,0.00005007893,0.00001066448,0.000008714811,0.0000639369,0.00006503523,0.000008960895,0.0006692454,0.7035242,0.217976],"study_design_scores_gemma":[0.002664336,0.001464511,0.2115631,0.001725633,0.00003214299,0.001365154,0.002225009,0.0006776029,0.0001378391,0.03843369,0.7392475,0.0004634827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.3238469,0.1335783,0.1045961,0.06103435,0.3571789,0.002277646,0.0003204203,0.00005663033,0.01711077],"genre_scores_gemma":[0.8777255,0.007900717,0.07237036,0.02847192,0.01126603,0.000007944001,0.000003515144,0.00003384359,0.002220158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5538786,"threshold_uncertainty_score":0.9996046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1110746494245614,"score_gpt":0.4870995659810674,"score_spread":0.376024916556506,"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."}}