{"id":"W4234537097","doi":"10.5539/jas.v11n6p569","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 11, No. 6","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; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02105061,0.001877019,0.003762894,0.006278974,0.003501277,0.006934772,0.003895337,0.0125423,0.1006101],"category_scores_gemma":[0.2688593,0.001030707,0.002968659,0.002630894,0.001809197,0.004764715,0.002760552,0.009448363,0.06323304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003617321,"about_ca_system_score_gemma":0.007597509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003453697,"about_ca_topic_score_gemma":0.007112102,"domain_scores_codex":[0.9786972,0.003722734,0.004289857,0.001405584,0.01082581,0.001058755],"domain_scores_gemma":[0.4198519,0.02304343,0.009830879,0.003899497,0.5341359,0.009238339],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002109506,0.000002567232,0.00004537224,0.0001952993,0.000003995703,0.00004855314,0.00001568833,0.000004961345,0.0000280128,0.00007884306,0.9972499,0.002305625],"study_design_scores_gemma":[0.00008639768,0.00003171447,0.0006724033,0.001518317,0.00003937888,0.0007047154,0.00020782,0.0001524852,0.0001991065,0.0009286571,0.9953784,0.00008059911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00008943769,0.001914998,0.0005402166,0.1625105,0.8305579,0.0002631693,0.0005768887,0.0002534195,0.003293412],"genre_scores_gemma":[0.003542215,0.006549131,0.002199426,0.1988888,0.7102862,0.001262062,0.001761317,0.0007355462,0.07477527],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9789494,"threshold_uncertainty_score":0.3365743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683846803436281,"score_gpt":0.2420792578569036,"score_spread":0.2252407898225408,"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."}}