{"id":"W4235758889","doi":"10.5539/jas.v9n9p241","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 9, No. 9","year":2017,"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; Computer science; Biology; Ecology","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":[0.0254788,0.001998492,0.004019467,0.006250558,0.003663434,0.006691891,0.003883139,0.0113669,0.07493295],"category_scores_gemma":[0.3279551,0.001067451,0.003072069,0.002603021,0.002052761,0.005016856,0.003081065,0.009280895,0.04686742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004092864,"about_ca_system_score_gemma":0.008043903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003673486,"about_ca_topic_score_gemma":0.006975043,"domain_scores_codex":[0.9742168,0.004650904,0.005483212,0.001914813,0.01253707,0.00119718],"domain_scores_gemma":[0.3357073,0.02598491,0.01113929,0.004501965,0.6138476,0.008818888],"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":[0.00002563233,0.000002992027,0.00006599449,0.0002588843,0.000005906189,0.0000648628,0.00002719719,0.000006187432,0.0000434194,0.00009107074,0.9968057,0.00260221],"study_design_scores_gemma":[0.0001035195,0.00002973515,0.0008203811,0.001840912,0.00005132004,0.0007666324,0.0003016189,0.0001822204,0.0002694217,0.001033999,0.9945076,0.0000925987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001139366,0.002050204,0.0006549617,0.158552,0.8348606,0.0003302296,0.000554072,0.0002667923,0.002617247],"genre_scores_gemma":[0.004880536,0.006466652,0.002569819,0.2156032,0.7026243,0.001609852,0.001602195,0.0009205997,0.06372274],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07493295,"threshold_uncertainty_score":0.2506757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02757983308177571,"score_gpt":0.2686599551031788,"score_spread":0.2410801220214031,"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."}}