{"id":"W4289202867","doi":"10.5539/mas.v16n3p50","title":"Reviewer Acknowledgements, Vol. 16, No. 3, August 2022","year":2022,"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":[0.02192519,0.002166887,0.003707733,0.005599292,0.005204371,0.008858267,0.004338603,0.01503349,0.1247064],"category_scores_gemma":[0.2585622,0.001275338,0.002698343,0.002653042,0.001988377,0.005347178,0.003116706,0.009519801,0.06864545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004169898,"about_ca_system_score_gemma":0.009295848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005895695,"about_ca_topic_score_gemma":0.009450184,"domain_scores_codex":[0.9771439,0.004440711,0.004052395,0.001408543,0.01175891,0.001195461],"domain_scores_gemma":[0.5532264,0.0225406,0.0077718,0.004326438,0.4045486,0.007586208],"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":[0.0000142846,0.000002230759,0.00003347223,0.0001482043,0.00000275378,0.00002786337,0.00001614751,0.000003893635,0.00001450791,0.00005500059,0.9977518,0.001929867],"study_design_scores_gemma":[0.000109144,0.00002215629,0.0005298262,0.001416374,0.00003136947,0.0003513155,0.0002416236,0.0001279914,0.0001420346,0.0005479318,0.9964218,0.00005851005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001237324,0.00189847,0.000710495,0.1905792,0.7975013,0.0006021485,0.0007512905,0.0005112564,0.007322059],"genre_scores_gemma":[0.004284143,0.007102924,0.001986914,0.2613871,0.5601998,0.003259713,0.002090522,0.001305804,0.158383],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1247064,"threshold_uncertainty_score":0.4171844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490807922449476,"score_gpt":0.2534233804279335,"score_spread":0.2385153012034388,"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."}}