{"id":"W4249710678","doi":"10.5539/jas.v13n9p230","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 13, No. 9","year":2021,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Regional Development and Environment","field":"Social 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":[0.02132224,0.002008593,0.003751456,0.005653916,0.003902344,0.006580772,0.003965585,0.01180715,0.0891429],"category_scores_gemma":[0.2687001,0.001101724,0.002886884,0.002731628,0.001773127,0.004523274,0.002565802,0.009349078,0.05432074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004038718,"about_ca_system_score_gemma":0.009529302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005749072,"about_ca_topic_score_gemma":0.0113875,"domain_scores_codex":[0.9773597,0.003710808,0.004186799,0.00159211,0.01207658,0.001074025],"domain_scores_gemma":[0.3571712,0.02160258,0.00763389,0.003566571,0.6019023,0.00812346],"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":[0.000018864,0.000002450252,0.00004534098,0.0001534498,0.000003589003,0.00004197961,0.0000145861,0.000004806525,0.00002869849,0.00006003365,0.9978867,0.001739427],"study_design_scores_gemma":[0.00009428932,0.00002594341,0.000814753,0.001310012,0.00004079414,0.0004819887,0.0002316381,0.0001887916,0.0002282114,0.0007711344,0.9957296,0.00008279075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00009774685,0.001549769,0.0006280857,0.1619459,0.8310255,0.0003497433,0.0007043407,0.0003030083,0.003395937],"genre_scores_gemma":[0.004322009,0.006428934,0.002862398,0.2297438,0.6505,0.001837281,0.002244795,0.001006495,0.1010544],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0891429,"threshold_uncertainty_score":0.2982127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254283328613563,"score_gpt":0.2820691894227092,"score_spread":0.2595263561365735,"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."}}