{"id":"W4255107735","doi":"10.5539/gjhs.v11n4p159","title":"Reviewer Acknowledgements for Global Journal of Health Science, Vol. 11, No. 4","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; Library science; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04014019,0.002735728,0.006843862,0.006600478,0.00459038,0.009606712,0.005867307,0.01906563,0.09607837],"category_scores_gemma":[0.4329661,0.00153591,0.004686578,0.002928264,0.003522123,0.006629202,0.003824818,0.0127831,0.06216533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005097806,"about_ca_system_score_gemma":0.01166994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00501396,"about_ca_topic_score_gemma":0.008646708,"domain_scores_codex":[0.9532062,0.008994357,0.00987059,0.002808699,0.02301388,0.002106323],"domain_scores_gemma":[0.2701082,0.03179006,0.01364411,0.005930499,0.6680958,0.01043134],"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":[0.00003023543,0.000003419186,0.00005821299,0.0003894631,0.000008327806,0.00004931698,0.00002316468,0.000007633677,0.00002532508,0.00009886135,0.9966232,0.002682886],"study_design_scores_gemma":[0.0002737418,0.00005045271,0.0008426346,0.004183617,0.000110049,0.0009149243,0.000329485,0.0003072993,0.0002820348,0.001623121,0.9909357,0.0001470035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001080888,0.001987109,0.000820552,0.183632,0.8085983,0.0006997153,0.0007755376,0.0004139416,0.002964736],"genre_scores_gemma":[0.003635623,0.005440175,0.002739878,0.2442161,0.6836592,0.003350374,0.001536348,0.0008797041,0.0545426],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.09607837,"threshold_uncertainty_score":0.3214142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09170891207329067,"score_gpt":0.4770359033405943,"score_spread":0.3853269912673036,"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."}}