{"id":"W2944414491","doi":"10.5539/jas.v11n7p96","title":"Multivariate Analysis in Corn Cultivars Productivity Submitted to Fertilizations and Row Spacing","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Banana Cultivation and Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cultivar; Mathematics; Human fertilization; Productivity; Multivariate statistics; Randomized block design; Crop; Population; Multivariate analysis; Agronomy; Statistics; Biology; Demography","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":[0.0007057821,0.00024193,0.0003420866,0.0006192364,0.0002306683,0.0004527986,0.0001192111,0.0001516314,0.0006450603],"category_scores_gemma":[0.002187606,0.00007842615,0.0004384435,0.0006812182,0.0002521547,0.0001812858,0.0003137513,0.0002479422,0.00008272956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002583156,"about_ca_system_score_gemma":0.0002552592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002161096,"about_ca_topic_score_gemma":0.00204099,"domain_scores_codex":[0.9993079,0.0002333608,0.0000391408,0.0001991632,0.0001534033,0.00006697253],"domain_scores_gemma":[0.9985793,0.0005047315,0.0003773417,0.0001953561,0.0002168115,0.0001265054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002004056,0.0003364464,0.545706,0.000164327,0.0003845472,0.0002786338,0.00114867,0.003462014,0.3743026,0.0004464317,0.0002605093,0.07150571],"study_design_scores_gemma":[0.000004310035,0.0003317227,0.987195,0.000004660699,0.00004397112,0.00008000069,0.0002483119,0.003241634,0.008432135,0.0001391373,0.0002632274,0.00001594068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974889,0.00006262565,0.001962079,0.00001060899,0.000004235982,0.000009326403,0.0001620851,0.00002436073,0.0002757742],"genre_scores_gemma":[0.9982995,0.00003206723,0.001272306,0.000004953928,0.000002727829,0.00001514727,0.0001848355,0.000007285373,0.0001811601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002161096,"threshold_uncertainty_score":0.004297018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226507268425231,"score_gpt":0.2702622749742044,"score_spread":0.247997202289952,"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."}}