{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02430624,0.002042966,0.004285617,0.005401118,0.003590116,0.006539411,0.004112764,0.01372315,0.08220185],"category_scores_gemma":[0.2954046,0.001117702,0.00323527,0.002486434,0.002083282,0.004387458,0.00248888,0.009845983,0.05020875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004337266,"about_ca_system_score_gemma":0.01059549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00543021,"about_ca_topic_score_gemma":0.01024965,"domain_scores_codex":[0.9767482,0.003883146,0.004360853,0.00149232,0.01242115,0.001094395],"domain_scores_gemma":[0.363305,0.02610007,0.008531639,0.003993086,0.5895006,0.008569598],"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":[0.00002183335,0.000002691295,0.00004695258,0.0001784523,0.000004151193,0.00004512682,0.00001697988,0.000005053229,0.00003031663,0.00006532449,0.9976978,0.001885376],"study_design_scores_gemma":[0.0001281184,0.00003249386,0.0007936817,0.001749932,0.00004795658,0.000663527,0.0002537358,0.0002034914,0.0002492537,0.0009575971,0.9948338,0.00008639193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001111358,0.002000954,0.0007327729,0.1946446,0.7975448,0.0004518622,0.0006545799,0.0003595396,0.003499787],"genre_scores_gemma":[0.003972994,0.006713592,0.002841834,0.2959177,0.6094804,0.002211393,0.00167417,0.0009515999,0.07623635],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.08220185,"threshold_uncertainty_score":0.2749926,"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."}}