{"id":"W4241567305","doi":"10.5539/jas.v9n2p242","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 9, No. 2","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; Regional science; Engineering ethics; Sociology; Engineering; 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":[0.02815612,0.002234746,0.004526906,0.006957313,0.003891121,0.007328195,0.004151997,0.01301635,0.07431348],"category_scores_gemma":[0.3420465,0.00123842,0.003334589,0.002901463,0.002235562,0.005690894,0.003358964,0.0101662,0.04580138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004335538,"about_ca_system_score_gemma":0.008920258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003682733,"about_ca_topic_score_gemma":0.007017418,"domain_scores_codex":[0.9711879,0.005186687,0.005910906,0.002115865,0.0142661,0.001332565],"domain_scores_gemma":[0.3199545,0.02788881,0.01136147,0.004987001,0.6266117,0.009196577],"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":[0.00002433029,0.000003020272,0.00005885328,0.0002609155,0.000005954199,0.00006392766,0.00002743462,0.000006170509,0.00004145077,0.00008565936,0.9970759,0.002346285],"study_design_scores_gemma":[0.0001158273,0.0000328151,0.0008045533,0.002031156,0.00005369067,0.0008502806,0.0003108212,0.0001911471,0.0002674253,0.001054284,0.9941875,0.0001003805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001050847,0.002192646,0.0006544043,0.1652237,0.8282564,0.0003288901,0.0005146037,0.0002731537,0.002451059],"genre_scores_gemma":[0.004067746,0.006177232,0.002358398,0.220516,0.7071542,0.001659629,0.001425803,0.0009112312,0.05572977],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9718439,"threshold_uncertainty_score":0.2486034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02708419787218772,"score_gpt":0.2683129705907614,"score_spread":0.2412287727185737,"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."}}