{"id":"W4238848371","doi":"10.5539/sar.v9n3p114","title":"Reviewer Acknowledgements for Sustainable Agriculture Research, Vol. 9, No. 3","year":2020,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Livestock; Political science; Government (linguistics); Library science; Agricultural science; Agricultural economics; Management; Geography; Economics; Forestry","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006079427,0.0005561145,0.0006470557,0.0001085863,0.004213129,0.001384594,0.001691509,0.0005724552,0.003435206],"category_scores_gemma":[0.08341585,0.000189504,0.0003403871,0.009236275,0.0003177974,0.001898662,0.001207162,0.002033119,0.001900412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000531354,"about_ca_system_score_gemma":0.0001633666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007206604,"about_ca_topic_score_gemma":0.0001788907,"domain_scores_codex":[0.9910889,0.001270745,0.0007665287,0.001439873,0.002065766,0.003368196],"domain_scores_gemma":[0.8093793,0.001635941,0.0002320101,0.0002374611,0.1877922,0.0007231296],"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":[0.0001383956,0.0002924347,0.0002418317,0.0007100962,0.00007583453,0.00005289683,0.0003006952,0.000007041095,0.01139224,0.005550719,0.977922,0.003315877],"study_design_scores_gemma":[0.0003899029,0.001229536,0.002724511,0.00007560194,0.00002869071,0.000001945913,0.03707036,0.00002172332,0.001682638,0.001926642,0.9543065,0.0005419099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.3879205,0.0442005,0.00014985,0.1454094,0.008565007,0.06339296,0.0007129945,0.002788696,0.3468601],"genre_scores_gemma":[0.1300972,0.00253762,0.0006613536,0.002051445,0.04626282,0.004069887,0.002187448,0.0000257586,0.8121064],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4652463,"threshold_uncertainty_score":0.9996521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1056159890234415,"score_gpt":0.3746495775088226,"score_spread":0.2690335884853811,"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."}}