{"id":"W4231561028","doi":"10.5539/jas.v11n12p99","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 11, No. 12, Special Issue","year":2019,"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":"Library science; Agriculture; Regional science; Political 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":[0.01270763,0.001667426,0.002669669,0.005300673,0.00296893,0.005928056,0.002717772,0.008101988,0.1205115],"category_scores_gemma":[0.1495999,0.000797526,0.002007165,0.002420983,0.001252442,0.004043309,0.002222335,0.006697281,0.07712859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00307602,"about_ca_system_score_gemma":0.006041317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003399194,"about_ca_topic_score_gemma":0.0083185,"domain_scores_codex":[0.9878006,0.001937868,0.001851486,0.0009002486,0.006863049,0.0006468958],"domain_scores_gemma":[0.5543638,0.015788,0.00672279,0.002667721,0.4109573,0.009500397],"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":[0.00001277204,0.000002129311,0.00003509347,0.00008979448,0.00000197316,0.00002822837,0.000008405565,0.000003080317,0.00002516794,0.00004170876,0.9979436,0.001807901],"study_design_scores_gemma":[0.00004377486,0.00002396959,0.0006359278,0.0005745732,0.00002128155,0.0003364042,0.0001402948,0.00009985575,0.0001606113,0.0005274112,0.9973909,0.00004497453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001010002,0.001607668,0.0004846624,0.1257955,0.8663216,0.0001806744,0.0006193552,0.0002543954,0.004635209],"genre_scores_gemma":[0.003774685,0.005615396,0.001892709,0.1336937,0.7156457,0.000828047,0.002222367,0.0009364524,0.135391],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1205115,"threshold_uncertainty_score":0.4031513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590283271861286,"score_gpt":0.2417722024208014,"score_spread":0.2258693697021885,"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."}}