{"id":"W4385791662","doi":"10.5539/jas.v15n9p126","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 15, No. 9","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; Sociology; Geography; 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":[0.003797242,0.0002004905,0.0004654413,0.0001221363,0.001164037,0.0002093485,0.00141615,0.00007238046,0.0001885033],"category_scores_gemma":[0.01611849,0.00005753299,0.000327104,0.00418347,0.0008627636,0.001726128,0.0002330058,0.0002494018,0.0001955708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001413607,"about_ca_system_score_gemma":0.000158401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002170187,"about_ca_topic_score_gemma":0.00003523637,"domain_scores_codex":[0.9970293,0.00006208477,0.0009364901,0.0002654069,0.001111148,0.0005955849],"domain_scores_gemma":[0.9535273,0.0003288001,0.001196016,0.00005508023,0.04462737,0.0002654081],"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":[0.00003496072,0.0001279432,0.01319459,0.00002314792,0.00005065009,0.000003588279,0.0002503179,0.000026836,0.4162739,0.0001061712,0.5623183,0.0075896],"study_design_scores_gemma":[0.000294388,0.0007436266,0.9422917,0.0001194506,0.00004565469,0.00003791851,0.00136046,0.000004396893,0.004450859,0.0001422522,0.0503372,0.0001720594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867734,0.0005140632,0.000002567105,0.001698455,0.01021887,0.0002393046,0.000009126308,0.00001860557,0.0005256658],"genre_scores_gemma":[0.987224,0.0008357542,0.0006191852,0.0004169538,0.005999723,0.00001207823,0.000005031227,0.000001373662,0.004885888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9290972,"threshold_uncertainty_score":0.9921691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03806277433131226,"score_gpt":0.2805093801856311,"score_spread":0.2424466058543188,"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."}}