{"id":"W4248342087","doi":"10.5539/mas.v13n11p127","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 13, No. 11","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":[0.02769209,0.002528855,0.005055516,0.009443236,0.0052387,0.01064466,0.00487641,0.01430743,0.1324704],"category_scores_gemma":[0.3388214,0.001359552,0.003983356,0.004194621,0.002464764,0.006846079,0.003790073,0.01069606,0.08156046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005031366,"about_ca_system_score_gemma":0.009805974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003609983,"about_ca_topic_score_gemma":0.004924125,"domain_scores_codex":[0.9630677,0.00669713,0.00659207,0.002375127,0.01981906,0.001449003],"domain_scores_gemma":[0.3175842,0.02930825,0.009504012,0.005717741,0.6290033,0.008882484],"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":[0.000014508,0.000002589964,0.00003674054,0.0002177618,0.000005106708,0.00003609619,0.00002082705,0.000006504601,0.00002528704,0.0001298656,0.9966355,0.002869275],"study_design_scores_gemma":[0.00006607293,0.0000221648,0.0004699317,0.001354587,0.0000428365,0.0003975281,0.0001872251,0.0001649858,0.0001715584,0.001266255,0.995783,0.0000738385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00007883212,0.002433121,0.00104625,0.1149629,0.8761428,0.0003285853,0.0004803142,0.0003743129,0.004152976],"genre_scores_gemma":[0.003170339,0.007125555,0.002300545,0.140208,0.7494487,0.001402103,0.001547263,0.001090676,0.09370674],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1324704,"threshold_uncertainty_score":0.4431577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03535427067433856,"score_gpt":0.2289703107964063,"score_spread":0.1936160401220677,"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."}}