{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02814728,0.001997466,0.004158818,0.007094688,0.004312853,0.006607194,0.003912117,0.01188464,0.08427138],"category_scores_gemma":[0.3312534,0.001206254,0.002954202,0.003288247,0.001875062,0.004901111,0.002874352,0.00930919,0.04884628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004212481,"about_ca_system_score_gemma":0.01025429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005568739,"about_ca_topic_score_gemma":0.01100041,"domain_scores_codex":[0.9728863,0.004916163,0.00535225,0.001926554,0.01374164,0.001177083],"domain_scores_gemma":[0.3117383,0.03001124,0.009886149,0.004490606,0.6357387,0.008135017],"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":[0.00002090907,0.000002723417,0.00005098667,0.0002017102,0.000004223544,0.00004043179,0.00002274527,0.000004881534,0.00003184162,0.00006549135,0.9976835,0.001870456],"study_design_scores_gemma":[0.0001050534,0.00003077277,0.0009813381,0.00167364,0.00004698645,0.0004807033,0.000268232,0.0001710372,0.0002226302,0.0008786015,0.9950526,0.00008840816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001171307,0.001966707,0.0006860721,0.1777415,0.8145577,0.0004379976,0.0008539661,0.0003273747,0.003311554],"genre_scores_gemma":[0.004802303,0.006962043,0.003499822,0.2596146,0.6314405,0.002442107,0.00258182,0.001224681,0.08743213],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9718527,"threshold_uncertainty_score":0.2819158,"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."}}