{"id":"W4240981982","doi":"10.5539/jas.v11n2p557","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 11, No. 2","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Library science; Political science; Computer science; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005203528,0.0001717377,0.0003818675,0.0002228625,0.0008121027,0.0003174701,0.001677264,0.00005821871,0.0002981278],"category_scores_gemma":[0.006959068,0.00008484973,0.0002807362,0.001579414,0.001129894,0.00300482,0.0001370075,0.0001930137,0.0002362546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007377844,"about_ca_system_score_gemma":0.000839609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006319617,"about_ca_topic_score_gemma":0.00001558954,"domain_scores_codex":[0.9956355,0.0000636093,0.0007918233,0.000231699,0.002698627,0.0005787132],"domain_scores_gemma":[0.977384,0.00009366012,0.001176829,0.0001024879,0.02081631,0.0004266793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005680626,0.0004026252,0.03922924,0.00008296654,0.00008169297,0.000004416334,0.005898577,0.0003220309,0.131268,0.002193795,0.8156905,0.004769344],"study_design_scores_gemma":[0.0005514519,0.0003005551,0.6956801,0.0002585982,0.00003605018,0.00001691543,0.00271163,0.000002388855,0.001912679,0.0001377223,0.2981683,0.0002235345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724246,0.0004115427,0.00002405665,0.0009698444,0.01963889,0.0003939579,0.000001274247,0.000005359307,0.006130535],"genre_scores_gemma":[0.9634462,0.00124822,0.00528345,0.0002109627,0.006433554,0.000004809602,0.000001129273,0.000007403036,0.0233643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6564509,"threshold_uncertainty_score":0.8331158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747402615032331,"score_gpt":0.2727723035900114,"score_spread":0.2552982774396881,"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."}}