{"id":"W7135157364","doi":"","title":"Influence de la taille de la population et de la quantité de données phénotypiques sur les résultats d'analyses GWAS chez une collection de cultivars de soja canadien (Glycine max (L.) Merr)","year":2025,"lang":"fr","type":"dissertation","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genome-wide association study; Quantitative trait locus; Genetic architecture; Population; Sample size determination; Genetic association; Inclusive composite interval mapping; Allele","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02671383,0.0008071255,0.0007741203,0.00101856,0.0006229782,0.002021297,0.0004156301,0.0008457937,0.001308669],"category_scores_gemma":[0.03097964,0.0004567643,0.001942679,0.0009974146,0.0008687741,0.0009935512,0.0009376482,0.0009432305,0.0002811996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000585804,"about_ca_system_score_gemma":0.0006906136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00640814,"about_ca_topic_score_gemma":0.007974833,"domain_scores_codex":[0.9888417,0.007055312,0.0005406981,0.002278513,0.0009712529,0.0003126297],"domain_scores_gemma":[0.9269893,0.0668497,0.001229848,0.00332746,0.001216538,0.0003871231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00292396,0.0002356751,0.5918872,0.0003797385,0.005136777,0.0007094663,0.001741048,0.04127079,0.1927594,0.0009363969,0.001102073,0.1609176],"study_design_scores_gemma":[0.0001271043,0.0005799217,0.9096288,0.00005807942,0.001426696,0.0006141326,0.0002284123,0.05726453,0.02672376,0.0009490823,0.002269818,0.0001296897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598253,0.001127879,0.03639531,0.0002716001,0.00003336184,0.00003205303,0.001171183,0.0003486537,0.0007946154],"genre_scores_gemma":[0.980374,0.0003428357,0.01685548,0.0001363505,0.00002086075,0.00009226603,0.001348515,0.0002428731,0.0005868635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9935918,"threshold_uncertainty_score":0.141278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02040431749889235,"score_gpt":0.2779722167142496,"score_spread":0.2575678992153572,"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."}}