{"id":"W4250629548","doi":"10.5539/jas.v11n7p303","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 11, No. 7, Special Issue","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"14-3-3 protein interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Library science; Political science; Engineering ethics; Engineering; Computer science; History; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.001465244,0.0001811174,0.0003081848,0.0001535895,0.0002758845,0.0002014865,0.00123309,0.00007131074,0.0003693322],"category_scores_gemma":[0.008293645,0.0000939116,0.0003093539,0.0007688064,0.0003999944,0.0002254672,0.0001919012,0.0002092044,0.0001663115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000173521,"about_ca_system_score_gemma":0.0004253059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001400059,"about_ca_topic_score_gemma":0.000007347014,"domain_scores_codex":[0.9976931,0.00003710516,0.000707584,0.0002669964,0.000883947,0.0004112533],"domain_scores_gemma":[0.964864,0.00002231648,0.001039825,0.0001722252,0.03365657,0.0002450425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002317992,0.0000626703,0.0006201233,0.00001520561,0.00001862322,4.809067e-7,0.00004677083,0.00003602207,0.6929724,0.000008267534,0.3056294,0.0005668653],"study_design_scores_gemma":[0.0007813246,0.001280743,0.1076118,0.0002274948,0.0000508217,0.0001880407,0.000426201,0.000002645926,0.3592149,0.0000161821,0.5299594,0.0002404477],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707937,0.0004054283,0.00005090638,0.0002388493,0.02580044,0.0003717892,0.000006407554,0.000002203381,0.002330304],"genre_scores_gemma":[0.8785312,0.0006083735,0.009754697,0.0003195052,0.07975677,0.00001213941,0.000008650509,0.00001958918,0.03098912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3337575,"threshold_uncertainty_score":0.9928867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008792961810099099,"score_gpt":0.2781765322742621,"score_spread":0.269383570464163,"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."}}