{"id":"W4256701566","doi":"10.5539/jas.v13n1p202","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 13, No. 1","year":2020,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02849746,0.002030577,0.004400155,0.006020359,0.003754818,0.00678897,0.004112313,0.01309303,0.08826292],"category_scores_gemma":[0.346956,0.001164512,0.003037444,0.002668534,0.002049647,0.004780301,0.002675955,0.009688124,0.05135411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004482372,"about_ca_system_score_gemma":0.01117929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005217152,"about_ca_topic_score_gemma":0.01021103,"domain_scores_codex":[0.9725719,0.005021677,0.00521489,0.001829145,0.01412227,0.001240163],"domain_scores_gemma":[0.3264383,0.03130947,0.009474881,0.004369734,0.6198114,0.008596245],"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":[0.00002231543,0.000002800294,0.00004715737,0.0002035467,0.000004120851,0.00003754367,0.00001878375,0.000004911127,0.0000269504,0.00006938978,0.9976069,0.001955505],"study_design_scores_gemma":[0.0001234583,0.0000332478,0.0007977122,0.001965165,0.00004662482,0.0005657892,0.0002638357,0.000171362,0.0002183194,0.000903224,0.9948271,0.00008417677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00011079,0.002224354,0.0006880781,0.2118145,0.780003,0.000473125,0.0007799136,0.0003339131,0.003572248],"genre_scores_gemma":[0.003873862,0.00721643,0.002911986,0.296768,0.6064287,0.00248102,0.001992713,0.0009515478,0.07737572],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.08826292,"threshold_uncertainty_score":0.2952689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04146184146690129,"score_gpt":0.3466918307443579,"score_spread":0.3052299892774566,"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."}}