{"id":"W4205456694","doi":"10.5539/jas.v13n7p113","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 13, No. 7","year":2021,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Medical Research and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Library science; Regional science; Political science; Sociology; Computer science; History; 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":[0.002707196,0.0001717093,0.0005450859,0.0002227701,0.0003573696,0.0001754508,0.0006862703,0.00005061022,0.0003991477],"category_scores_gemma":[0.07477392,0.00007153649,0.0003642578,0.00220149,0.0009889448,0.001191733,0.0001481936,0.0003956414,0.0001025411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004729722,"about_ca_system_score_gemma":0.002249784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001781489,"about_ca_topic_score_gemma":0.000004305776,"domain_scores_codex":[0.9952184,0.00005001029,0.0008467782,0.0002437718,0.003012564,0.0006284736],"domain_scores_gemma":[0.9152581,0.0001246565,0.0006849174,0.0001503229,0.08261271,0.001169285],"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":[0.0001690303,0.001154593,0.00647785,0.0002497701,0.0002234808,0.0001939352,0.0002808284,0.000006969901,0.3235434,0.0000745768,0.6509786,0.01664699],"study_design_scores_gemma":[0.004320377,0.003013793,0.8728408,0.00177917,0.0002981454,0.001326577,0.0009168375,0.00001041965,0.0675775,0.00008939119,0.0476127,0.0002142793],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830171,0.003476316,0.00008033252,0.001483849,0.009118044,0.0003675003,0.000005248442,0.000005079304,0.002446497],"genre_scores_gemma":[0.9563401,0.003127879,0.01192348,0.0005196933,0.009503452,0.000008705808,0.000007231309,0.0000115937,0.01855786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.866363,"threshold_uncertainty_score":0.9330196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03194680192237059,"score_gpt":0.3504748584445371,"score_spread":0.3185280565221665,"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."}}