{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003778894,0.0001285433,0.0001152343,0.00002148062,0.0003564468,0.00007519958,0.0006275579,0.00003033712,0.01080188],"category_scores_gemma":[0.001745484,0.0001021371,0.0000300472,0.0009616828,0.0004662258,0.0004078738,0.0003800354,0.000130834,0.02565042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568055,"about_ca_system_score_gemma":0.00008250509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005861079,"about_ca_topic_score_gemma":0.00001483478,"domain_scores_codex":[0.9981963,0.00000537071,0.0002318075,0.000548272,0.000684055,0.0003342114],"domain_scores_gemma":[0.9988455,0.00001302603,0.00007368785,0.0002879633,0.0005486386,0.0002311772],"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":[0.000005306641,0.00009090657,0.002860045,0.0000129496,0.000003379533,3.275454e-7,0.0006150694,0.0002091177,0.1023422,0.0007282433,0.8707202,0.02241231],"study_design_scores_gemma":[0.0001933546,0.00003221062,0.01568127,0.00000917647,0.000006957437,3.088878e-7,0.00004220898,0.02499751,0.002247427,0.002666318,0.9538299,0.0002933355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04409074,0.00009463226,0.03291228,0.002434917,0.003478135,0.0008294233,0.00000991327,0.0001291652,0.9160208],"genre_scores_gemma":[0.9528597,0.00007664243,0.01168742,0.01407838,0.001123703,0.0001609589,0.00001689487,0.00002890771,0.01996739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.908769,"threshold_uncertainty_score":0.9901024,"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."}}