{"id":"W2886294327","doi":"10.5539/jas.v10n9p209","title":"Sample Sufficiency for Mean Estimation of Productive Traits of Sunn Hemp","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Sowing; Agronomy; Mathematics; Biology; Crotalaria juncea; Confidence interval; Sample size determination; Statistics; Green manure","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":[0.0008031041,0.00008148405,0.0001864743,0.00002764971,0.000175814,0.00003098143,0.000414707,0.000027354,0.00002480671],"category_scores_gemma":[0.0004278134,0.00002487711,0.00009355829,0.0007536978,0.0003033525,0.0002834924,0.00003337663,0.00005231832,5.762466e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002066907,"about_ca_system_score_gemma":0.00003260185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006184691,"about_ca_topic_score_gemma":0.00006099975,"domain_scores_codex":[0.9987938,0.00001615727,0.0003910013,0.0001454116,0.0004544821,0.0001990864],"domain_scores_gemma":[0.9979833,0.0001766096,0.0005655584,0.00002382959,0.001167137,0.00008350226],"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":[0.00002048793,0.00005607923,0.0006491446,0.000007294106,0.000004208961,1.008634e-7,0.0004561778,0.0001293499,0.9812764,0.000519731,0.0001463168,0.01673472],"study_design_scores_gemma":[0.0001048541,0.001774196,0.6585107,0.0000558122,0.00001703696,0.00004542763,0.0009249112,0.0002605801,0.3374086,0.000604544,0.0002007384,0.00009251382],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988386,0.00004820376,0.0001366167,0.0004310599,0.0002035406,0.0001428243,0.00004033439,0.000003232617,0.0001555784],"genre_scores_gemma":[0.9951189,0.000008928949,0.004546348,0.00001006845,0.0002945694,7.529953e-7,0.000002975446,2.79024e-7,0.00001715832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6578616,"threshold_uncertainty_score":0.1352237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03246344299796093,"score_gpt":0.2421299215231996,"score_spread":0.2096664785252387,"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."}}