{"id":"W4402858394","doi":"10.21203/rs.3.rs-4945066/v1","title":"Availability of phenotypic simulation for fruit-related traits in F1 progenies of chili peppers (Capsicum annuum) using genomic prediction based solely on parental information","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Agricultural Practices and Plant Genetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Institute of Genetics; University of Tokyo","keywords":"Capsicum annuum; Horticulture; Biology; Chili pepper; Botany; Pepper","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004717229,0.0002816267,0.0002146656,0.0002428433,0.0001430394,0.000193494,0.0003308431,0.0002632331,0.002046209],"category_scores_gemma":[0.001001487,0.0001646957,0.0004338612,0.0002435886,0.00008801826,0.0002528655,0.0001585735,0.0002573316,0.0004232476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002134037,"about_ca_system_score_gemma":0.0001520514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002648121,"about_ca_topic_score_gemma":0.003189347,"domain_scores_codex":[0.9998709,0.00003264048,0.000006988678,0.00005463572,0.00002089811,0.00001396496],"domain_scores_gemma":[0.9989466,0.0007150882,0.00004224564,0.0001609372,0.00008999546,0.00004504357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001712741,0.0003659775,0.2110774,0.000288884,0.0003918514,0.0006307214,0.000228155,0.4345103,0.2849319,0.001348122,0.00211831,0.06239568],"study_design_scores_gemma":[0.00004828101,0.0002110528,0.2777541,0.00001114713,0.0001149778,0.0002023054,0.00006962331,0.682027,0.03796372,0.0008225662,0.0007196454,0.00005556898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847356,0.0000264996,0.01132054,0.00001855231,0.000005453029,0.000006668491,0.002531289,0.0004422705,0.000913174],"genre_scores_gemma":[0.9926593,0.00001247789,0.003206281,0.00000688632,0.000001687734,0.00001224235,0.003650635,0.0001085504,0.0003421352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002648121,"threshold_uncertainty_score":0.006845236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08261840570073428,"score_gpt":0.3414502842680827,"score_spread":0.2588318785673485,"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."}}