{"id":"W2809247612","doi":"10.5376/ijh.2018.08.0014","title":"An Over Review of Micronutrients on Growth, Yield and Quality of Citrus","year":2018,"lang":"en","type":"article","venue":"International Journal of Horticulture","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Micronutrient; Yield (engineering); Biology; Quality (philosophy); Horticulture; Environmental science; Agronomy; Chemistry; Materials science; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001894701,0.00005599975,0.0001798842,0.000009402008,0.00002822387,0.000004961345,0.0001669831,0.00003954241,0.0001558423],"category_scores_gemma":[0.0002364193,0.00001908322,0.00006479449,0.00005953101,0.00009054864,0.0000990404,0.00002154407,0.0000679096,0.000001160416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006415794,"about_ca_system_score_gemma":0.000004506328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001949249,"about_ca_topic_score_gemma":0.00002058631,"domain_scores_codex":[0.9992574,0.00004116825,0.000348255,0.00006823105,0.0002371629,0.00004781105],"domain_scores_gemma":[0.9986561,0.0001054019,0.0004239461,0.00001592346,0.000770039,0.00002858318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002012909,0.000158049,0.01775567,0.00003850835,0.00009997316,0.000001383075,0.0001103198,1.279088e-7,0.9760797,0.0007500917,0.002489235,0.002315647],"study_design_scores_gemma":[0.0001787588,0.000617251,0.9212531,0.001104483,0.00001885957,0.00001979004,0.0001844878,3.728991e-7,0.07260964,0.0004043862,0.003544929,0.00006398347],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975799,0.00105907,0.000001128273,0.000762012,0.0001190236,0.00003303363,0.00005718293,0.000001872835,0.0003868134],"genre_scores_gemma":[0.9962704,0.002716636,0.00003000073,0.0007170761,0.0002286507,4.517789e-7,0.000009138139,2.233546e-7,0.00002742828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9034974,"threshold_uncertainty_score":0.1706364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0373057608161886,"score_gpt":0.3150536218211221,"score_spread":0.2777478610049335,"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."}}