{"id":"W4388680515","doi":"10.5539/jas.v15n12p102","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 15, No. 12","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; Engineering ethics; Engineering; 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":[0.02093299,0.00192344,0.003904699,0.006064465,0.00350132,0.006376664,0.003565815,0.0113714,0.089239],"category_scores_gemma":[0.2592772,0.001070143,0.002714703,0.002654176,0.001688378,0.004158019,0.002373577,0.008362458,0.05641005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003446954,"about_ca_system_score_gemma":0.008157858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004392011,"about_ca_topic_score_gemma":0.009005586,"domain_scores_codex":[0.9799111,0.00344419,0.003741636,0.001396297,0.01058957,0.0009170148],"domain_scores_gemma":[0.3965461,0.02379295,0.008438616,0.003687181,0.5584904,0.009044805],"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":[0.00002177669,0.000002745352,0.00004509193,0.0001651232,0.000003835091,0.00004127337,0.00001515953,0.000004718224,0.00003240523,0.00005499483,0.9975122,0.00210067],"study_design_scores_gemma":[0.0001038319,0.00003508622,0.0008630108,0.001332539,0.00004056077,0.0005626606,0.0002118134,0.0001797749,0.0002306674,0.0008070655,0.9955486,0.00008435069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001059178,0.001979914,0.0006456631,0.1542225,0.8382912,0.0003538129,0.0006361652,0.0003222524,0.003442573],"genre_scores_gemma":[0.00394665,0.00671784,0.002673958,0.2154525,0.6696113,0.001707768,0.00196104,0.0009583421,0.09697069],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.089239,"threshold_uncertainty_score":0.2985342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754222209400019,"score_gpt":0.2585690182821765,"score_spread":0.2310267961881763,"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."}}