{"id":"W4247521539","doi":"10.5539/jas.v12n5p191","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 12, No. 5","year":2020,"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; Computer science; Agricultural science; Geography; Environmental 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":[0.02189989,0.001941336,0.003617189,0.006143677,0.003496,0.007036433,0.003798203,0.01370534,0.1019134],"category_scores_gemma":[0.2510741,0.001115161,0.003036915,0.00255628,0.001726619,0.004684858,0.00251548,0.008900348,0.0585185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003765258,"about_ca_system_score_gemma":0.008465424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003958181,"about_ca_topic_score_gemma":0.008442852,"domain_scores_codex":[0.9791282,0.003642952,0.003774364,0.001416598,0.01099742,0.001040444],"domain_scores_gemma":[0.4200411,0.02291736,0.008776232,0.003643228,0.5344831,0.01013917],"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":[0.00002102509,0.000002745269,0.00004313883,0.0001725699,0.000003917164,0.00003990488,0.00001320555,0.000004949658,0.00002787806,0.0000647869,0.9974563,0.002149611],"study_design_scores_gemma":[0.000101233,0.00003441551,0.0007788745,0.001441275,0.00004059889,0.000519531,0.0001849873,0.0001606836,0.0001885254,0.0007905483,0.9956806,0.00007868897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00008677083,0.001922225,0.0005396797,0.1595995,0.833368,0.0002926436,0.0005262021,0.0002780349,0.003387003],"genre_scores_gemma":[0.003303523,0.00621582,0.002247898,0.2137965,0.6904802,0.001339467,0.001643094,0.0007524802,0.08022109],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1019134,"threshold_uncertainty_score":0.3409343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02865009583507892,"score_gpt":0.2463062655501371,"score_spread":0.2176561697150582,"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."}}