{"id":"W4303696839","doi":"10.5539/jas.v14n11p98","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 14, No. 11","year":2022,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Library science; Regional science; Political science; Sociology; Geography; Computer science; 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":[0.02418408,0.001953705,0.004084994,0.005564793,0.003396222,0.006423724,0.003678219,0.01157029,0.08351741],"category_scores_gemma":[0.311475,0.001033103,0.002764213,0.002428697,0.001988497,0.004359846,0.002449274,0.00895028,0.05193535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003845083,"about_ca_system_score_gemma":0.009493422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004893991,"about_ca_topic_score_gemma":0.009292973,"domain_scores_codex":[0.9755955,0.004231914,0.004441099,0.001556348,0.01315796,0.001017152],"domain_scores_gemma":[0.3373559,0.02860129,0.008213055,0.004028006,0.6136026,0.008199067],"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":[0.00002226039,0.000002784307,0.00004891821,0.0001787505,0.000004035079,0.00004108083,0.00001843933,0.000004727917,0.0000304333,0.00006610718,0.9975597,0.002022848],"study_design_scores_gemma":[0.0001114256,0.00003414553,0.0008305861,0.001548512,0.00004337739,0.0005717805,0.0002775027,0.0001807671,0.0002332563,0.0008258363,0.9952602,0.00008256907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001174314,0.001993298,0.0007505519,0.1878072,0.804048,0.0004569135,0.0006936262,0.0003426496,0.003790237],"genre_scores_gemma":[0.004210594,0.006686062,0.00297898,0.2655399,0.621834,0.002174144,0.001867333,0.0009160416,0.0937931],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.08351741,"threshold_uncertainty_score":0.2793936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03128613593019972,"score_gpt":0.3429885438455932,"score_spread":0.3117024079153934,"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."}}