{"id":"W4205867770","doi":"10.5539/mas.v14n11p59","title":"Reviewer Acknowledgements, Vol. 14, No. 11, November 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":[0.0003737808,0.0001316565,0.0001184212,0.00002188697,0.000342211,0.00007779334,0.0006425641,0.00003049854,0.01166578],"category_scores_gemma":[0.001583875,0.0001048095,0.00003087653,0.001245647,0.0004777528,0.0004211092,0.0003939648,0.0001171151,0.02213262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001576653,"about_ca_system_score_gemma":0.00007926059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007760525,"about_ca_topic_score_gemma":0.00001400997,"domain_scores_codex":[0.9981776,0.00000473461,0.0002362895,0.0005459308,0.0006983945,0.0003370738],"domain_scores_gemma":[0.9987518,0.00001260258,0.00007778013,0.0002873083,0.0006491043,0.0002214628],"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":[0.000004239807,0.0001169628,0.004847589,0.00001654976,0.000003201193,3.686154e-7,0.0006419725,0.0002287909,0.1356411,0.00132276,0.8415331,0.01564343],"study_design_scores_gemma":[0.0001890814,0.00002501556,0.01599684,0.000008790007,0.000006214894,2.696387e-7,0.00004082295,0.0225671,0.002783292,0.001883508,0.9562128,0.0002862226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1054476,0.0001230627,0.04901974,0.005965584,0.006058336,0.001335628,0.00002152781,0.0002092377,0.8318192],"genre_scores_gemma":[0.9588689,0.00004245637,0.009306541,0.01509069,0.001160158,0.0001361697,0.00001618577,0.0000267886,0.01535217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8534212,"threshold_uncertainty_score":0.9892377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01943193823008767,"score_gpt":0.2563775250849779,"score_spread":0.2369455868548902,"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."}}