{"id":"W3119885564","doi":"10.3389/fpls.2020.590762","title":"Estimation of the Optimal Number of Replicates in Crop Variety Trials","year":2021,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Replicate; Replication (statistics); Selection (genetic algorithm); Statistics; Heritability; Biology; Biotechnology; Mathematics; Computer science; Genetics; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07189925,0.001382582,0.003199755,0.001334689,0.001133582,0.001801903,0.002877036,0.00281358,0.001223456],"category_scores_gemma":[0.1499796,0.00134507,0.00228051,0.001374141,0.001807127,0.002341428,0.002025447,0.002823636,0.0007670837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001779857,"about_ca_system_score_gemma":0.001788964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001685936,"about_ca_topic_score_gemma":0.003029901,"domain_scores_codex":[0.943748,0.04254291,0.003031352,0.005179075,0.004517511,0.0009811257],"domain_scores_gemma":[0.8264568,0.1313543,0.01419154,0.01615777,0.01020048,0.00163905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02022507,0.003831873,0.092228,0.003480494,0.001690432,0.0008627188,0.002684849,0.3312443,0.1628675,0.02312536,0.002619409,0.3551399],"study_design_scores_gemma":[0.002431247,0.01762361,0.1328702,0.001307497,0.00139069,0.0007297819,0.001149222,0.5677045,0.1931224,0.05952775,0.02137445,0.0007686298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1836748,0.001141469,0.8077462,0.0002246658,0.0001040867,0.003626806,0.0004551715,0.0006534347,0.0023734],"genre_scores_gemma":[0.399259,0.0002017188,0.5932005,0.000207885,0.00002133895,0.005507947,0.0005337808,0.000186567,0.0008813114],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07189925,"threshold_uncertainty_score":0.3802441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03464805986659179,"score_gpt":0.2523995162962074,"score_spread":0.2177514564296156,"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."}}