{"id":"W4253574554","doi":"10.5539/jas.v11n14p315","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 11, No. 14, 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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Library science; Regional science; Engineering ethics; Data science; Computer science; Sociology; Geography; 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":[0.01238595,0.001623291,0.002593264,0.005296752,0.002930026,0.005878783,0.002706125,0.007909345,0.1231949],"category_scores_gemma":[0.1469292,0.0007802864,0.001965951,0.00240415,0.001251621,0.004004205,0.002228489,0.006539358,0.07957484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003068627,"about_ca_system_score_gemma":0.006052362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003408094,"about_ca_topic_score_gemma":0.008269095,"domain_scores_codex":[0.9879072,0.001887526,0.001812869,0.0008879169,0.006870644,0.0006337374],"domain_scores_gemma":[0.5558984,0.01576592,0.006589188,0.002637413,0.4097322,0.009376836],"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":[0.00001231005,0.000002140582,0.00003503667,0.00008626121,0.000001912345,0.00002781665,0.000008143827,0.000003054695,0.00002480814,0.00004216869,0.9979583,0.001798046],"study_design_scores_gemma":[0.00004256859,0.00002387501,0.0006284217,0.0005539805,0.00002050093,0.0003229502,0.0001387927,0.00009947371,0.0001618565,0.0005264584,0.9974371,0.00004392719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00010291,0.001518331,0.0004891264,0.1236328,0.8683797,0.0001825376,0.0006310131,0.0002601554,0.004803461],"genre_scores_gemma":[0.003882004,0.005567344,0.001978345,0.133165,0.7074113,0.0008417216,0.00235287,0.0009722281,0.1438292],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1231949,"threshold_uncertainty_score":0.4121282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513790793779764,"score_gpt":0.2428362918879062,"score_spread":0.2276983839501086,"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."}}