{"id":"W4242016666","doi":"10.5539/mas.v14n12p52","title":"Reviewer Acknowledgements, Vol. 14, No. 12, December 2020","year":2020,"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":[0.02459549,0.002065721,0.003667531,0.00613984,0.005047577,0.009535109,0.004433849,0.01544163,0.1437744],"category_scores_gemma":[0.2940904,0.001376354,0.002738934,0.003078586,0.00200809,0.006381396,0.003270134,0.008879711,0.07951283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004460818,"about_ca_system_score_gemma":0.01088613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006449869,"about_ca_topic_score_gemma":0.0103971,"domain_scores_codex":[0.9741057,0.005072894,0.004746266,0.001539248,0.01313748,0.001398361],"domain_scores_gemma":[0.482336,0.02084512,0.008193606,0.004240305,0.4761652,0.008219633],"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":[0.00001391323,0.000002536688,0.000035785,0.0001864051,0.000002625526,0.000020486,0.00001409183,0.000004034203,0.00001231388,0.00006369166,0.9973924,0.002251521],"study_design_scores_gemma":[0.0001058978,0.00002330035,0.0005774799,0.00169932,0.00002986363,0.0002903749,0.0002145765,0.000127585,0.0001331441,0.0006162042,0.9961241,0.0000581758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001115088,0.001944022,0.0007494239,0.1736795,0.8140624,0.0005762663,0.0009079152,0.000519804,0.007449155],"genre_scores_gemma":[0.003753107,0.007931624,0.002289424,0.2532031,0.5645866,0.003050442,0.002605961,0.001225002,0.1613549],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1437744,"threshold_uncertainty_score":0.4809732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0210597473548489,"score_gpt":0.2584663870693398,"score_spread":0.2374066397144909,"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."}}