{"id":"W4294713423","doi":"10.5539/jas.v14n10p84","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 14, No. 10","year":2022,"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; Political science; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01970818,0.001925071,0.003572501,0.006012121,0.003437236,0.006363148,0.003552834,0.01143015,0.09056883],"category_scores_gemma":[0.2497416,0.001059758,0.00263366,0.002622119,0.001725726,0.004177639,0.00235543,0.008554831,0.05832125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003635902,"about_ca_system_score_gemma":0.008423207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004616634,"about_ca_topic_score_gemma":0.009652957,"domain_scores_codex":[0.9807097,0.003213791,0.0033254,0.001338602,0.01049793,0.0009146864],"domain_scores_gemma":[0.3977017,0.02498906,0.008040216,0.003499267,0.5565473,0.009222427],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001950712,0.000002571189,0.00004312394,0.0001449061,0.000003503891,0.00003959805,0.00001280834,0.000004425744,0.00003003144,0.00005269038,0.9977742,0.001872555],"study_design_scores_gemma":[0.00009741566,0.00003252745,0.0008400771,0.001146248,0.00003739547,0.0005223276,0.0001997195,0.0001710954,0.00022451,0.0007385072,0.9959106,0.00007948803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00009974828,0.00176396,0.0005754192,0.1489039,0.8439089,0.0003103639,0.0005961041,0.0002889967,0.003552719],"genre_scores_gemma":[0.003762819,0.006199351,0.002407253,0.2117247,0.6723559,0.001531082,0.001957968,0.0008986734,0.09916224],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9802918,"threshold_uncertainty_score":0.3029829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02078346634890627,"score_gpt":0.2456742472868508,"score_spread":0.2248907809379446,"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."}}