{"id":"W4389641679","doi":"10.5539/jas.v16n1p90","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 16, No. 1","year":2023,"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; Engineering; Sociology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00382027,0.0002001216,0.0004640939,0.0001217629,0.001167047,0.0002080373,0.001402774,0.00007226565,0.0001989364],"category_scores_gemma":[0.01612289,0.00005745587,0.000328866,0.004164508,0.0008538917,0.001709844,0.0002315176,0.000248374,0.000177648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001934278,"about_ca_system_score_gemma":0.0001588489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002822071,"about_ca_topic_score_gemma":0.00004392313,"domain_scores_codex":[0.997043,0.00006238477,0.000932134,0.0002642999,0.001104218,0.0005939607],"domain_scores_gemma":[0.9536088,0.0003284879,0.001198526,0.000054933,0.04454459,0.0002646358],"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":[0.00003730127,0.0001370448,0.01339539,0.00002404621,0.00005302723,0.000003008054,0.0002263547,0.00002190987,0.3531165,0.0001262173,0.6231418,0.009717456],"study_design_scores_gemma":[0.0003067874,0.0007612992,0.9348996,0.0001214399,0.00004659127,0.00003850058,0.001480305,0.000003132139,0.004812644,0.0001763914,0.05717815,0.0001751782],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866728,0.000489566,0.000003332062,0.001647101,0.01021158,0.0002393511,0.000009159667,0.00001858043,0.0007085781],"genre_scores_gemma":[0.9881767,0.0007627414,0.0004474551,0.0003769382,0.00537398,0.00001117943,0.00000502491,0.000001234332,0.004844763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9215042,"threshold_uncertainty_score":0.9921647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03911375356831347,"score_gpt":0.2810301841414191,"score_spread":0.2419164305731056,"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."}}