{"id":"W4311231240","doi":"10.5539/jas.v15n1p95","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 15, No. 1","year":2022,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Ecology and Conservation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Library science; Regional science; Political science; Engineering ethics; Computer science; Sociology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.00401184,0.0001901096,0.0004488628,0.00009294599,0.002278607,0.0001649208,0.001727623,0.00004016708,0.0006976721],"category_scores_gemma":[0.009125385,0.0000583421,0.000333444,0.002710178,0.0007330827,0.001433129,0.0004163089,0.0003688531,0.00003301829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002807719,"about_ca_system_score_gemma":0.0002065163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002952981,"about_ca_topic_score_gemma":0.00002441397,"domain_scores_codex":[0.996793,0.0001071311,0.0009337612,0.0002666317,0.00138365,0.0005157852],"domain_scores_gemma":[0.9628883,0.0002557844,0.001500478,0.00005604425,0.03506398,0.0002354324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007967721,0.0003676172,0.01466844,0.00001875832,0.00006731644,0.000004145496,0.0003990388,0.00008979414,0.4388193,0.0001782278,0.5376208,0.007686781],"study_design_scores_gemma":[0.0003729397,0.001508159,0.8717979,0.00004667135,0.0000558634,0.000105364,0.002621027,0.000003249508,0.00268082,0.0001245378,0.120489,0.0001944824],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852995,0.001050192,0.000003054173,0.001529674,0.01126037,0.0002644962,0.00001582342,0.000008586291,0.0005682706],"genre_scores_gemma":[0.9921609,0.0002286108,0.0006322373,0.0005786634,0.003474047,0.00001929205,0.000003546042,9.979666e-7,0.0029017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8571295,"threshold_uncertainty_score":0.9992211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03020853030549377,"score_gpt":0.2646122091551318,"score_spread":0.234403678849638,"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."}}