{"id":"W4200564940","doi":"10.5539/jas.v13n12p91","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 13, No. 12","year":2021,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Library science; Regional science; Political science; Geography; Computer science; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002741858,0.0001794356,0.0005599403,0.0002252587,0.000370992,0.0001809228,0.000705275,0.00005309225,0.0004265492],"category_scores_gemma":[0.07080932,0.00007494664,0.000374145,0.001866295,0.0009967543,0.001241346,0.000154533,0.0004105435,0.00009990312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004882193,"about_ca_system_score_gemma":0.002193602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002229901,"about_ca_topic_score_gemma":0.000006984964,"domain_scores_codex":[0.9950818,0.00005279414,0.0008675356,0.0002524691,0.003088767,0.0006566597],"domain_scores_gemma":[0.9267568,0.000129622,0.0007071053,0.0001564833,0.07102382,0.001226188],"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":[0.0001803232,0.001133296,0.007549184,0.0002429944,0.000223016,0.0001888649,0.0003020695,0.000006849501,0.2881359,0.00006383461,0.6862743,0.01569941],"study_design_scores_gemma":[0.004350783,0.002987575,0.8823396,0.001749704,0.0002994222,0.001292257,0.0009557692,0.00001044523,0.05267606,0.00008291977,0.05303902,0.0002164748],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812152,0.003417506,0.00008553569,0.001516482,0.009842617,0.0004117618,0.000005754947,0.000005715481,0.003499398],"genre_scores_gemma":[0.94718,0.003521478,0.01249337,0.0005754865,0.01062902,0.00001009456,0.000008390694,0.00001318065,0.02556898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8747904,"threshold_uncertainty_score":0.9370176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03391143189960266,"score_gpt":0.3481874012624896,"score_spread":0.3142759693628869,"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."}}