{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.005719464,0.00100571,0.001506758,0.0006511823,0.000267211,0.0005053646,0.003576328,0.002038219,0.0001302291],"category_scores_gemma":[0.005205293,0.00114842,0.00004309643,0.002061786,0.0002197575,0.001870329,0.006585307,0.004484592,0.000176518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006036282,"about_ca_system_score_gemma":0.0006140864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02120407,"about_ca_topic_score_gemma":0.04204681,"domain_scores_codex":[0.9916714,0.002228368,0.00128975,0.003391325,0.0005154223,0.0009037592],"domain_scores_gemma":[0.9903977,0.002488106,0.0006909841,0.005920905,0.0001712144,0.0003310975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006313268,0.000140356,0.01431439,0.0006578965,0.0002481954,0.00005727942,0.00004958954,0.0000635143,0.0001179476,0.000009594328,0.9784954,0.005782767],"study_design_scores_gemma":[0.001491243,0.00004689132,0.05302953,0.001875115,0.000642321,0.00004355831,0.00004493905,0.005031051,0.00002815453,0.0003258175,0.9360754,0.001365936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01287983,0.003586383,0.0005831619,0.0002166805,0.0003904788,0.0008572214,0.9813063,0.0001744202,0.000005539009],"genre_scores_gemma":[0.001289993,0.002358228,0.02486405,0.0001404409,0.0007364451,0.00003811131,0.9701818,0.0002327909,0.000158152],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0424199,"threshold_uncertainty_score":0.9992573,"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."}}