{"id":"W4396535211","doi":"10.1111/1365-2435.14567","title":"Temperature dependence and genetic variation in resource acquisition strategies in a model freshwater plant","year":2024,"lang":"en","type":"article","venue":"Functional Ecology","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Queen's University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Resource Acquisition Is Initialization; Competition (biology); Ecology; Trait; Resource (disambiguation); Population; Selection (genetic algorithm); Genetic variation; Ecological selection; Resource allocation; Demography; Genetics; Gene; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001976914,0.0001829014,0.0002783349,0.0002942712,0.0003845243,0.0003173348,0.0004803698,0.0003447525,0.00129688],"category_scores_gemma":[0.0004663828,0.0001351191,0.0002818868,0.0002548832,0.0002941469,0.0001965796,0.0003430386,0.0002900701,0.0001056413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029529,"about_ca_system_score_gemma":0.0002260433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01404132,"about_ca_topic_score_gemma":0.01312686,"domain_scores_codex":[0.9999369,0.00001405237,0.00000370587,0.00002564159,0.000007044386,0.0000126539],"domain_scores_gemma":[0.9997154,0.0001330277,0.00004847889,0.00002938759,0.00002549032,0.00004813233],"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":[0.0009061358,0.0004492141,0.1629723,0.0001243522,0.000163967,0.000602664,0.0004606596,0.08774327,0.7379261,0.002105766,0.0004025692,0.006142953],"study_design_scores_gemma":[0.00009352658,0.0008712985,0.506942,0.000009902951,0.0001040048,0.0003707565,0.0004102489,0.4670315,0.02105649,0.002061851,0.0009336786,0.0001147272],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993131,0.000004195721,0.0004347402,0.000009733531,4.000163e-7,0.000003059563,0.00009166897,0.00001031018,0.0001328358],"genre_scores_gemma":[0.9990743,0.000006108566,0.0006187244,0.000008644695,3.231308e-7,0.00001157904,0.00008926293,0.000006216726,0.0001847459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01404132,"threshold_uncertainty_score":0.02791917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005229140386975536,"score_gpt":0.1837955582587046,"score_spread":0.1785664178717291,"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."}}