{"id":"W6886838428","doi":"10.15454/jqabmj","title":"Interplay between high drift and high selection in small selfing maize populations : simulator and summary data","year":2021,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Selection (genetic algorithm); Selfing; Trait; Zea mays; Genetic drift; Natural selection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002329855,0.001497504,0.0009385415,0.001354152,0.0004673864,0.001058359,0.002416626,0.001739232,0.02109428],"category_scores_gemma":[0.009417926,0.0008207615,0.001406851,0.001892249,0.0004220102,0.0006435896,0.0006510274,0.001303848,0.01313907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001117903,"about_ca_system_score_gemma":0.001269204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01676672,"about_ca_topic_score_gemma":0.02628078,"domain_scores_codex":[0.9991917,0.0003016814,0.00007396122,0.0002684328,0.00009878124,0.00006549584],"domain_scores_gemma":[0.995652,0.00276853,0.0002512252,0.0007708633,0.0003888753,0.0001685575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007348782,0.0003062098,0.01632176,0.001604024,0.0005835064,0.0001887324,0.0001724995,0.1167799,0.002071877,0.002987374,0.8453535,0.01289568],"study_design_scores_gemma":[0.008348719,0.0005611734,0.05225853,0.0006203143,0.0006344085,0.0005529374,0.0003116529,0.3027932,0.01029274,0.02295614,0.6002174,0.0004527894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01207514,0.0001136797,0.002216252,0.0002267884,0.00003606851,0.00007930371,0.980935,0.003346728,0.0009709589],"genre_scores_gemma":[0.02092494,0.00008703442,0.00759197,0.0001809903,0.00001233732,0.0006747647,0.9684563,0.0007866059,0.001285033],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02109428,"threshold_uncertainty_score":0.07056743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2963886069665121,"score_gpt":0.4238336260445415,"score_spread":0.1274450190780294,"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."}}