{"id":"W2139955151","doi":"10.1139/b08-078","title":"Subindividual variation and genetic versus environmental effects on seed traits in a European<i>Aquilegia</i>","year":2008,"lang":"en","type":"article","venue":"Botany","topic":"Seed Germination and Physiology","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kurtosis; Biology; Diallel cross; Skewness; Trait; Genetic variation; Selection (genetic algorithm); Germination; Standard deviation; Seedling; Quantitative genetics; Directional selection; Botany; Statistics; Evolutionary biology; Mathematics; Hybrid; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003544099,0.0001551314,0.0001588578,0.0006784216,0.0001975335,0.0002600178,0.0001586513,0.0001744548,0.001034055],"category_scores_gemma":[0.000559565,0.00009154802,0.0001368173,0.0003618858,0.0004531993,0.0001149437,0.0004098747,0.0002063471,0.00007665419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003279443,"about_ca_system_score_gemma":0.00007872564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003332912,"about_ca_topic_score_gemma":0.009130256,"domain_scores_codex":[0.9997802,0.00008057804,0.00001055365,0.0000805159,0.00002491585,0.00002321909],"domain_scores_gemma":[0.9996111,0.0001828227,0.0000859973,0.00005758739,0.00001839217,0.00004417741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008199897,0.0001477541,0.4216541,0.00007437589,0.0003242205,0.0005449436,0.002031219,0.0008005273,0.5445492,0.0004190655,0.0001089388,0.02852564],"study_design_scores_gemma":[0.000003436249,0.00004707075,0.9989104,0.000001297196,0.00000835431,0.0001080768,0.00006521274,0.0002020891,0.000457926,0.00002690603,0.000165563,0.000003604044],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997683,0.00001304398,0.0000853235,0.000002912241,2.659305e-7,9.653586e-7,0.00001520546,0.000002729243,0.0001113016],"genre_scores_gemma":[0.9996363,0.00001087246,0.0001708486,0.000005328391,6.693954e-7,0.000003234262,0.00005367568,0.000004214211,0.0001148938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003332912,"threshold_uncertainty_score":0.006627023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442936465829014,"score_gpt":0.1924318725938302,"score_spread":0.1780025079355401,"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."}}