{"id":"W4242745538","doi":"10.5539/jas.v11n15p285","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 11, No. 15","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Library science; Regional science; Engineering ethics; Computer science; Engineering; Sociology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02086336,0.001788441,0.00366935,0.006269902,0.003410736,0.007031038,0.003558946,0.01107045,0.1022711],"category_scores_gemma":[0.2657547,0.0009755721,0.002758508,0.002672509,0.00174612,0.004621522,0.00276009,0.008252562,0.06511793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003541837,"about_ca_system_score_gemma":0.008144446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003711706,"about_ca_topic_score_gemma":0.007788953,"domain_scores_codex":[0.9793521,0.003590367,0.004075849,0.001447236,0.01049862,0.001035765],"domain_scores_gemma":[0.4057505,0.0230734,0.00955828,0.003926511,0.5484738,0.009217372],"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":[0.00002151502,0.000002553952,0.00004935698,0.0001864223,0.000003965538,0.00004540512,0.00001644333,0.000004732239,0.00002853546,0.00007707638,0.9972192,0.002344846],"study_design_scores_gemma":[0.00008429168,0.00003177507,0.0007383935,0.001412702,0.0000390422,0.0006140215,0.0002205661,0.0001529792,0.0002070077,0.0009438006,0.9954738,0.00008161442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001016639,0.001948644,0.000589772,0.1575497,0.8349963,0.0002970913,0.0007029526,0.0002849283,0.003528958],"genre_scores_gemma":[0.004203015,0.006700983,0.002436718,0.2029592,0.6906612,0.001430782,0.002170672,0.0008606805,0.08857682],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1022711,"threshold_uncertainty_score":0.342131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702203002476106,"score_gpt":0.2421545437709459,"score_spread":0.2251325137461849,"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."}}