{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001014652,0.0001065131,0.00009234773,0.00007045882,0.001304492,0.00005244501,0.0008285941,0.00001342131,0.06681715],"category_scores_gemma":[0.000485383,0.00009394658,0.00002859047,0.00149215,0.0004135426,0.0002992668,0.000983073,0.0001893235,0.005816677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008535119,"about_ca_system_score_gemma":0.0001120258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003629327,"about_ca_topic_score_gemma":0.00001591007,"domain_scores_codex":[0.997945,0.00001092714,0.0002092562,0.0004812766,0.001004431,0.0003491376],"domain_scores_gemma":[0.9991026,0.00001318459,0.00008481548,0.0004009283,0.0002967219,0.0001017542],"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":[0.000004758861,0.0002709898,0.00240114,0.000006280477,0.000003052137,2.570061e-7,0.0003876315,0.0005514114,0.06479938,0.003366123,0.8911385,0.03707049],"study_design_scores_gemma":[0.0001238927,0.00002958648,0.006385636,0.000002134004,0.000003669867,6.049962e-7,0.0001613385,0.005067302,0.000616771,0.006221666,0.9811861,0.0002012796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08697578,0.0001231389,0.008669806,0.0003767151,0.006717184,0.000784895,0.00002456009,0.000093693,0.8962342],"genre_scores_gemma":[0.9103872,0.00002751925,0.002070514,0.003355314,0.0004105237,0.0006700657,0.00003362619,0.00002227485,0.083023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8234114,"threshold_uncertainty_score":0.9999956,"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."}}