{"id":"W3035315598","doi":"10.1016/j.gecco.2020.e01152","title":"Mean-variance relationships of leaf bilateral asymmetry for 35 species of plants and their implications","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Conservation","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions","keywords":"Variance (accounting); Asymmetry; Biology; Variance components; Fluctuating asymmetry; Botany; Statistics; Evolutionary biology; Mathematics; Physics; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001126711,0.00004932943,0.0001065886,0.000002807334,0.0001078709,0.000006242006,0.00004599827,0.00006055391,0.00001329751],"category_scores_gemma":[0.00007538152,0.00002103146,0.00001889619,0.00007307987,0.00007335258,0.00005361038,0.00002161515,0.00002954683,5.239152e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006577851,"about_ca_system_score_gemma":0.000008322257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006296588,"about_ca_topic_score_gemma":0.0004810726,"domain_scores_codex":[0.999602,0.00003866256,0.0001526059,0.0001115876,0.0000245292,0.00007059783],"domain_scores_gemma":[0.9996863,0.000118345,0.00008630984,0.00002021873,0.00005950453,0.00002931719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001239462,0.00002832187,0.9214799,0.00002773394,0.00002259962,4.463704e-8,0.0002184384,0.000002501086,0.0523016,0.0177718,0.0006932949,0.007329842],"study_design_scores_gemma":[0.0001572053,0.0001917864,0.9903487,0.000006213844,0.000006456773,0.000001444204,0.0003801046,0.0001734404,0.001333924,0.003619287,0.003739599,0.00004187082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799549,0.0002064298,0.00006317847,0.01919889,0.00002434518,0.0001664795,0.0001667385,0.000007725697,0.0002112827],"genre_scores_gemma":[0.9990049,0.00005305286,0.0001040342,0.0007479909,0.00002716672,0.00001058688,0.00003588856,2.296891e-7,0.00001613869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06886879,"threshold_uncertainty_score":0.08576383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07997574874064287,"score_gpt":0.2248197269355559,"score_spread":0.144843978194913,"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."}}