{"id":"W4200379860","doi":"10.5539/mas.v15n6p52","title":"Reviewer Acknowledgements, Vol. 15, No. 6, December 2021","year":2021,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Educational Reforms and Innovations","field":"Environmental Science","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":[0.02677301,0.002134949,0.004160631,0.006021498,0.005460381,0.009478234,0.00454571,0.01648094,0.1291166],"category_scores_gemma":[0.3000703,0.001440384,0.003016257,0.002946785,0.002094253,0.005820324,0.00339026,0.009989944,0.07160757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004687481,"about_ca_system_score_gemma":0.01087424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006915913,"about_ca_topic_score_gemma":0.01083997,"domain_scores_codex":[0.971376,0.005646235,0.005852361,0.00178524,0.01384732,0.001492731],"domain_scores_gemma":[0.5049787,0.025361,0.009785298,0.004703597,0.4469134,0.008258239],"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":[0.00001707017,0.000002820484,0.00004365826,0.0002050946,0.000003181051,0.00002718611,0.00001743791,0.000004793872,0.00001300154,0.00006432636,0.9972836,0.002317788],"study_design_scores_gemma":[0.0001136706,0.00002497913,0.0006152662,0.001781966,0.00003459575,0.0003178251,0.0002269763,0.0001351128,0.0001337021,0.0005819384,0.9959698,0.00006423794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001179775,0.002053102,0.0007330377,0.2001034,0.788235,0.0006558427,0.0009427932,0.0005125294,0.006646395],"genre_scores_gemma":[0.004084274,0.008319603,0.002165718,0.2836404,0.54711,0.003371173,0.00257806,0.001188587,0.1475423],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1291166,"threshold_uncertainty_score":0.431938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550188588490762,"score_gpt":0.264900163013879,"score_spread":0.2493982771289714,"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."}}