{"id":"W4248359127","doi":"10.5539/jas.v8n12p214","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 8, No. 12","year":2016,"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; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02745211,0.0020905,0.004469137,0.006895089,0.003687518,0.006682192,0.003930235,0.01125162,0.07364488],"category_scores_gemma":[0.3496127,0.001189891,0.003138847,0.003041008,0.002110249,0.005203589,0.002988856,0.009460191,0.04521893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003879011,"about_ca_system_score_gemma":0.0085292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003847556,"about_ca_topic_score_gemma":0.007595938,"domain_scores_codex":[0.9726582,0.005007001,0.005688694,0.00195428,0.01351437,0.001177481],"domain_scores_gemma":[0.303245,0.02760854,0.0112121,0.004753278,0.6446362,0.008544965],"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":[0.00002778877,0.000003371318,0.00006663491,0.000298162,0.000006143249,0.00006130365,0.00003301585,0.000006449672,0.00004626921,0.00008767769,0.9965077,0.002855502],"study_design_scores_gemma":[0.0001158319,0.00003593538,0.0009651533,0.002142058,0.00005789721,0.0007826943,0.0003484321,0.0002078619,0.0002876787,0.001141811,0.9938065,0.0001080775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001277198,0.002390419,0.0007749372,0.1654608,0.8273814,0.000365271,0.0006027938,0.000317544,0.002579142],"genre_scores_gemma":[0.004799353,0.006961866,0.003098308,0.2162963,0.6969845,0.00192244,0.00167677,0.001053833,0.0672066],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07364488,"threshold_uncertainty_score":0.2463667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216381442291322,"score_gpt":0.2450671746945698,"score_spread":0.2234290304654376,"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."}}