{"id":"W4206345014","doi":"10.5539/jas.v13n3p143","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 13, No. 3","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":"Library science; Agriculture; 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":[0.002704108,0.0001716726,0.0005448827,0.0002226723,0.0003571895,0.000175356,0.0006859843,0.00005060537,0.0004104191],"category_scores_gemma":[0.07604738,0.000071517,0.0003642069,0.002201094,0.000988652,0.001191449,0.0001481266,0.0003955805,0.0001048714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004744302,"about_ca_system_score_gemma":0.002254398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001780311,"about_ca_topic_score_gemma":0.000004274759,"domain_scores_codex":[0.9952189,0.00004998918,0.0008465203,0.0002436996,0.003012537,0.0006283225],"domain_scores_gemma":[0.9145362,0.0001246772,0.0006849699,0.0001502935,0.08333468,0.001169204],"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":[0.0001677441,0.001139628,0.006409393,0.0002464153,0.0002206724,0.0001909256,0.000276889,0.000006884016,0.3209606,0.00007147482,0.6539608,0.01634864],"study_design_scores_gemma":[0.004329701,0.002994515,0.8708149,0.001755745,0.0002955104,0.001312127,0.0009127958,0.00001037208,0.06796536,0.00008846385,0.0493067,0.0002137798],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829541,0.00346608,0.00008000033,0.001478599,0.009187843,0.0003672953,0.000005328708,0.0000050723,0.00245563],"genre_scores_gemma":[0.9555357,0.003142503,0.0119901,0.0005221645,0.009646953,0.000008767634,0.000007248183,0.00001166637,0.01913498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8644055,"threshold_uncertainty_score":0.9317355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03190466007919026,"score_gpt":0.350311376213761,"score_spread":0.3184067161345708,"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."}}