{"id":"W4243134984","doi":"10.5539/mas.v13n4p155","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 13, No. 4","year":2019,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; 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":[0.02838801,0.002769832,0.005344605,0.01001638,0.005437052,0.01039257,0.005875178,0.01752594,0.1278548],"category_scores_gemma":[0.3425615,0.001518937,0.004563756,0.004110636,0.002679131,0.007295792,0.004060284,0.01143917,0.0737415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005470803,"about_ca_system_score_gemma":0.01026531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003604454,"about_ca_topic_score_gemma":0.004869531,"domain_scores_codex":[0.9651754,0.006304562,0.006538374,0.002215798,0.01827783,0.001487999],"domain_scores_gemma":[0.3288792,0.02831666,0.01031187,0.005893414,0.6174597,0.009139244],"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":[0.00001626611,0.00000288648,0.00003978364,0.0002311412,0.000006338135,0.00004237576,0.00001984934,0.000007218138,0.00002790602,0.0001244164,0.9966863,0.00279553],"study_design_scores_gemma":[0.00008928258,0.00002535854,0.0004695421,0.00146087,0.00005461072,0.0004478568,0.0001849327,0.000190157,0.0001889099,0.001444708,0.9953632,0.00008039813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00007809526,0.002258346,0.0008881942,0.1167933,0.8757524,0.000311212,0.0003946732,0.0003360801,0.003187834],"genre_scores_gemma":[0.00288122,0.006488922,0.002261747,0.1451043,0.7623787,0.001491933,0.001241297,0.0009852508,0.07716662],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1278548,"threshold_uncertainty_score":0.4277168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03506137451669063,"score_gpt":0.2295340553500749,"score_spread":0.1944726808333843,"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."}}