{"id":"W4387655710","doi":"10.1111/ele.14285","title":"<scp>SEED</scp> : A framework for integrating ecological stoichiometry and eco‐evolutionary dynamics","year":2023,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Ecological stoichiometry; Intraspecific competition; Evolutionary dynamics; Ecology; Variation (astronomy); Biology; Evolutionary ecology; Evolutionary biology; Ecosystem; Functional ecology; Adaptation (eye); Host (biology); Population","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":[0.002240258,0.0007633494,0.0007676661,0.001990546,0.001638227,0.004245351,0.002364513,0.002175955,0.01529974],"category_scores_gemma":[0.005376221,0.0004379283,0.001176566,0.002619117,0.005863104,0.005813623,0.002520973,0.002883352,0.003551233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003043264,"about_ca_system_score_gemma":0.002183442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01219783,"about_ca_topic_score_gemma":0.01377644,"domain_scores_codex":[0.9993172,0.0002893708,0.00004732736,0.0001497995,0.0001548809,0.00004151931],"domain_scores_gemma":[0.9983076,0.0006818433,0.0002011374,0.000275394,0.0003082011,0.000225788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008648475,0.000005401147,0.0005038226,0.00009186123,0.00001815837,0.0001224496,0.0001654778,0.002999095,0.0004735373,0.9613801,0.01800571,0.01622583],"study_design_scores_gemma":[0.000004715594,0.000008864196,0.001004462,0.00005426231,0.000009236735,0.0001824532,0.00005865448,0.01280744,0.0001674449,0.9052318,0.08044841,0.00002220817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007609149,0.004270007,0.8340042,0.0285263,0.001445942,0.0001181728,0.002109063,0.001498795,0.1204184],"genre_scores_gemma":[0.3571134,0.007365379,0.575627,0.007589404,0.002448081,0.001041555,0.002082735,0.002256879,0.04447552],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01529974,"threshold_uncertainty_score":0.05118275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150863988199304,"score_gpt":0.2331077376629207,"score_spread":0.2215990977809277,"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."}}