{"id":"W4387592393","doi":"10.5539/jas.v15n11p78","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 15, No. 11","year":2023,"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":[],"consensus_categories":[],"category_scores_codex":[0.0213193,0.00187747,0.003736888,0.005928185,0.00349573,0.006381735,0.003454118,0.01114345,0.08764707],"category_scores_gemma":[0.2622733,0.001034897,0.002697508,0.002596586,0.0017367,0.004085081,0.00236968,0.008401815,0.05520356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003595522,"about_ca_system_score_gemma":0.008284716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004359931,"about_ca_topic_score_gemma":0.00886328,"domain_scores_codex":[0.9791427,0.003573999,0.00391963,0.001422657,0.01102043,0.0009205744],"domain_scores_gemma":[0.3880042,0.02587552,0.008471016,0.003742642,0.5650049,0.008901715],"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":[0.00002105862,0.000002646544,0.0000466245,0.0001629369,0.000003777159,0.00004251347,0.00001552323,0.000004920118,0.00003158824,0.00005881755,0.9975393,0.002070317],"study_design_scores_gemma":[0.00009461429,0.00003340897,0.0008362484,0.00126156,0.00003912999,0.0005393461,0.0002117311,0.0001696593,0.00021929,0.0007775382,0.995736,0.00008147531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.000102825,0.001832654,0.0006300762,0.152654,0.8400304,0.0003492629,0.0006201119,0.0002972803,0.003483366],"genre_scores_gemma":[0.003997275,0.00658476,0.002624601,0.2150116,0.6685941,0.001665612,0.001962694,0.0009011328,0.09865827],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08764707,"threshold_uncertainty_score":0.2932087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02622656997079552,"score_gpt":0.2592003683308253,"score_spread":0.2329737983600298,"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."}}