{"id":"W4205456694","doi":"10.5539/jas.v13n7p113","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 13, No. 7","year":2021,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Medical Research and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Library science; Regional science; Political science; Sociology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02356438,0.001974111,0.004112981,0.00550661,0.003445997,0.006381832,0.004145693,0.01342263,0.08523331],"category_scores_gemma":[0.3011375,0.001084014,0.003117921,0.002422185,0.001956779,0.004378294,0.002479748,0.009987323,0.05442308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004210341,"about_ca_system_score_gemma":0.01051651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005242866,"about_ca_topic_score_gemma":0.01013486,"domain_scores_codex":[0.9755735,0.004004524,0.00440493,0.001493752,0.01338902,0.001134408],"domain_scores_gemma":[0.3441554,0.02526369,0.007640515,0.003583138,0.6111285,0.008228719],"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":[0.00001941183,0.000002645565,0.00004544003,0.0001670698,0.000004009607,0.00004087308,0.00001487168,0.000004558919,0.00002685878,0.00006731496,0.9977555,0.001851476],"study_design_scores_gemma":[0.0001129793,0.00003195732,0.0007383559,0.001697685,0.00004581199,0.0005984571,0.0002512437,0.0001866634,0.0002256645,0.0008593514,0.9951711,0.00008056826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001068263,0.001946885,0.0006517547,0.1958461,0.7963439,0.0003880845,0.0006408692,0.0003140273,0.003761665],"genre_scores_gemma":[0.003740596,0.00669746,0.002619225,0.2820803,0.6184179,0.001939877,0.001852806,0.0008800673,0.08177183],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08523331,"threshold_uncertainty_score":0.2851338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03194680192237059,"score_gpt":0.3504748584445371,"score_spread":0.3185280565221665,"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."}}