{"id":"W4240205727","doi":"10.5539/jas.v11n16p248","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 11, No. 16, 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":"Library science; Agriculture; Engineering ethics; Regional science; Political science; Sociology; Computer science; Engineering; Geography; 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":[0.001482841,0.0001882046,0.0003176895,0.0001565241,0.0002870121,0.0002095895,0.001252986,0.00007449055,0.0004331922],"category_scores_gemma":[0.008114079,0.00009784302,0.0003206819,0.0007841793,0.0004045171,0.0002316053,0.0001983896,0.0002178312,0.0001672597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000234265,"about_ca_system_score_gemma":0.0004316866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000186157,"about_ca_topic_score_gemma":0.00001081551,"domain_scores_codex":[0.9976337,0.00003914578,0.000724397,0.0002764962,0.0009015501,0.0004247244],"domain_scores_gemma":[0.9657373,0.00002304143,0.001068455,0.0001775346,0.03274009,0.0002535234],"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":[0.00002429067,0.00006685967,0.0006103765,0.00001580601,0.00001945009,4.332488e-7,0.00004237129,0.00002915684,0.6563095,0.000008954615,0.3422129,0.0006599249],"study_design_scores_gemma":[0.0007972605,0.001261044,0.08184424,0.0002302813,0.00005175631,0.0001905393,0.0004595389,0.000001963235,0.364388,0.00001965367,0.550512,0.0002437782],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969828,0.0004484919,0.00006768983,0.0002485061,0.02596211,0.0003911807,0.000006825061,0.000002373363,0.003044887],"genre_scores_gemma":[0.8939899,0.0005529253,0.006802831,0.0002982915,0.06795999,0.00001108038,0.000008772074,0.00001756436,0.0303587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2919215,"threshold_uncertainty_score":0.9713897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008843973533361405,"score_gpt":0.2774959749061452,"score_spread":0.2686520013727838,"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."}}