{"id":"W4413115313","doi":"10.1093/aob/mcaf179","title":"Broad environmental adaptation is associated with root anatomical phenotypes in maize landraces: an <i>in silico</i> study","year":2025,"lang":"en","type":"article","venue":"Annals of Botany","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hatch; National Institute of Food and Agriculture; Foundation for Food and Agriculture Research","keywords":"Biology; In silico; Adaptation (eye); Phenotype; Root (linguistics); Evolutionary biology; Botany; Agronomy; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004285423,0.0004226068,0.0003645167,0.0003130841,0.0002285777,0.0003865891,0.0004374253,0.0003264218,0.0007763104],"category_scores_gemma":[0.0004920714,0.0001817907,0.0009050274,0.000355644,0.0002545335,0.00016263,0.0003082305,0.0003476866,0.0002213364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006073395,"about_ca_system_score_gemma":0.0002428498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004404316,"about_ca_topic_score_gemma":0.004732823,"domain_scores_codex":[0.9998537,0.00002510157,0.000008969593,0.00006277412,0.00002146803,0.00002794237],"domain_scores_gemma":[0.9996386,0.0001636866,0.00008484581,0.00005130424,0.00003057524,0.00003100633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007107932,0.0002395273,0.0972438,0.0001327699,0.0002406331,0.0002564666,0.0001490846,0.02073031,0.8739811,0.0004759069,0.0001459313,0.005693659],"study_design_scores_gemma":[0.0001583078,0.001132464,0.5698712,0.00001781342,0.0006285015,0.0006382869,0.0003433945,0.239174,0.1834839,0.0008339272,0.003649002,0.0000691258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970737,0.00002644429,0.002156304,0.00001099482,0.000001327681,0.000007004107,0.0005265846,0.00004057784,0.000157192],"genre_scores_gemma":[0.9942396,0.0000502729,0.003437534,0.0000218131,0.000001812578,0.00001766054,0.002001121,0.00003693566,0.0001933493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004404316,"threshold_uncertainty_score":0.008757353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02881177564115985,"score_gpt":0.2526063220051779,"score_spread":0.223794546364018,"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."}}