{"id":"W4230042733","doi":"10.5539/jas.v10n1p369","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 10, No. 1","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; Political science; Regional science; Computer science; Sociology; 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":[0.03089538,0.002122644,0.004511251,0.007293951,0.004166361,0.007150144,0.00422188,0.0124643,0.07405543],"category_scores_gemma":[0.3815216,0.001206811,0.00312304,0.003200973,0.002234534,0.005875988,0.003314378,0.0102005,0.0450258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004692522,"about_ca_system_score_gemma":0.009664943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004122772,"about_ca_topic_score_gemma":0.008051321,"domain_scores_codex":[0.968934,0.005814775,0.0063572,0.002330542,0.01515704,0.001406462],"domain_scores_gemma":[0.2807467,0.032059,0.01229421,0.004997246,0.6611134,0.008789439],"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":[0.00002345107,0.000003094294,0.00006426038,0.0002804547,0.000005462528,0.00005636569,0.00003305573,0.000005952827,0.00003772082,0.00008917748,0.9969117,0.002489323],"study_design_scores_gemma":[0.0001002883,0.00003055955,0.0008818105,0.002119609,0.00005036981,0.0007055968,0.0003453961,0.0001682674,0.0002376294,0.001066409,0.9941974,0.00009680938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001146792,0.002375631,0.0006532911,0.1789152,0.8141735,0.0003458165,0.0006004107,0.0002783587,0.002543133],"genre_scores_gemma":[0.004596259,0.00716966,0.002779482,0.2350212,0.6878419,0.001960089,0.001730347,0.001030212,0.05787076],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07405543,"threshold_uncertainty_score":0.2477401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02883790445390015,"score_gpt":0.2693310025282003,"score_spread":0.2404930980743001,"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."}}