{"id":"W4241751919","doi":"10.5539/jas.v13n6p136","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 13, No. 6","year":2021,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Library science; Regional science; Political science; Sociology; History; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002707327,0.0001717001,0.0005450749,0.0002227525,0.0003573075,0.0001754457,0.0006862564,0.0000506091,0.0004012294],"category_scores_gemma":[0.07542388,0.00007153313,0.0003642516,0.002201584,0.000988867,0.001191694,0.0001481894,0.0003956377,0.0001025498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004723609,"about_ca_system_score_gemma":0.002249476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001796846,"about_ca_topic_score_gemma":0.000004370528,"domain_scores_codex":[0.9952185,0.00005002275,0.0008467819,0.0002437528,0.003012538,0.000628429],"domain_scores_gemma":[0.9152227,0.0001247937,0.0006852022,0.0001503734,0.08264725,0.001169664],"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":[0.0001689769,0.001153826,0.00643754,0.000246659,0.0002223944,0.0001929149,0.0002798834,0.000006840126,0.3209363,0.000074964,0.6538042,0.01647548],"study_design_scores_gemma":[0.004296252,0.002991261,0.8740095,0.001752422,0.000296342,0.001317901,0.0009131168,0.00001024012,0.06651539,0.0000888828,0.04759572,0.0002129765],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829531,0.003489354,0.00008054057,0.001487014,0.009132775,0.0003686155,0.000005239998,0.000005087305,0.002478316],"genre_scores_gemma":[0.9563662,0.003110331,0.01189096,0.0005183037,0.009477604,0.000008698865,0.000007136019,0.0000115618,0.01860922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8675719,"threshold_uncertainty_score":0.9323642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03190352887559368,"score_gpt":0.3504405906363428,"score_spread":0.3185370617607491,"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."}}