{"id":"W4232944311","doi":"10.5539/jas.v8n7p189","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 8, No. 7","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Library science; Engineering ethics; Computer science; Data science; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02727469,0.002113033,0.00440008,0.006848473,0.003728408,0.006606496,0.004135342,0.0126374,0.06957985],"category_scores_gemma":[0.3442892,0.001186325,0.003374957,0.002893039,0.002165153,0.005134157,0.003004322,0.01029323,0.04349078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004192048,"about_ca_system_score_gemma":0.008713988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003791728,"about_ca_topic_score_gemma":0.007261227,"domain_scores_codex":[0.9718751,0.00506902,0.005727649,0.001921532,0.01417067,0.001236067],"domain_scores_gemma":[0.303248,0.02799362,0.01081167,0.004519292,0.6450678,0.008359667],"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":[0.00002412744,0.00000323827,0.00006501858,0.0002727474,0.000006281653,0.00006441436,0.00003081367,0.000006469765,0.00004399222,0.00009256933,0.9967659,0.002624545],"study_design_scores_gemma":[0.0001087389,0.00003345057,0.0008524198,0.00210489,0.00005882835,0.000811786,0.0003376655,0.0002098155,0.0002766133,0.001125699,0.9939768,0.0001031452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001223869,0.002131567,0.000700639,0.1706018,0.8227534,0.0003365555,0.0005136386,0.0002809117,0.002559087],"genre_scores_gemma":[0.004417677,0.006349993,0.002712971,0.2179409,0.706964,0.001689005,0.001467389,0.0009374699,0.05752064],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9304202,"threshold_uncertainty_score":0.2327678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030484115613767,"score_gpt":0.2463374516938192,"score_spread":0.2260326105376815,"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."}}