{"id":"W4242712010","doi":"10.5539/jas.v11n11p312","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 11, No. 11, Special Issue","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Library science; Regional science; Engineering ethics; Sociology; Computer science; History; Engineering; 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":[0.01242474,0.001631588,0.00257525,0.005250649,0.002920966,0.005850618,0.002666828,0.007866284,0.121074],"category_scores_gemma":[0.1459305,0.000779365,0.001970627,0.002435773,0.001234517,0.004020519,0.002213959,0.006581926,0.0775166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00307203,"about_ca_system_score_gemma":0.005921892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003358736,"about_ca_topic_score_gemma":0.008259246,"domain_scores_codex":[0.9879067,0.001925668,0.001834709,0.0008853886,0.006813286,0.0006342418],"domain_scores_gemma":[0.5598714,0.01578322,0.006715803,0.002646104,0.4057019,0.00928151],"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":[0.00001230181,0.000002073572,0.00003495965,0.00008883352,0.000001908799,0.00002812502,0.000008412519,0.000003105637,0.00002494858,0.00004332172,0.9979626,0.001789405],"study_design_scores_gemma":[0.00004002548,0.00002287793,0.000612336,0.0005472382,0.00001984976,0.0003175328,0.000138073,0.00009366374,0.0001535731,0.0005058233,0.9975058,0.00004324989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00010274,0.001574305,0.000482811,0.1261561,0.8657242,0.000180855,0.0006329476,0.0002575626,0.004888513],"genre_scores_gemma":[0.003867203,0.005652057,0.00195726,0.1346623,0.7072147,0.0008286573,0.002333101,0.0009508787,0.1425339],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.121074,"threshold_uncertainty_score":0.4050329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541455488490322,"score_gpt":0.2436916195984093,"score_spread":0.2282770647135061,"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."}}