{"id":"W4379094357","doi":"10.1002/ecy.4117","title":"Eco‐evolutionary contributions to community trait change in floating aquatic plants","year":2023,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adaptation (eye); Trait; Ecology; Biology; Phenotypic plasticity; Range (aeronautics); Environmental change; Community; Local adaptation; Biological dispersal; Climate change; Habitat; Population","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":[0.0003160639,0.0001809009,0.0001644371,0.0004288813,0.0004243084,0.0003011186,0.0001994218,0.0002226638,0.0005098466],"category_scores_gemma":[0.0007052405,0.0001185646,0.0001703995,0.0001699711,0.0003525166,0.0002683715,0.0005698834,0.0003054666,0.00004290499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004259733,"about_ca_system_score_gemma":0.0001687695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001388414,"about_ca_topic_score_gemma":0.003903836,"domain_scores_codex":[0.9998785,0.00003164746,0.000006825952,0.00002876734,0.00003155443,0.00002261401],"domain_scores_gemma":[0.9995666,0.0001283172,0.0001016433,0.00003535957,0.00005714803,0.000110884],"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":[0.0002604019,0.00006341734,0.09760146,0.00005853908,0.000057675,0.0001752046,0.0003768183,0.001132547,0.8909714,0.0002426655,0.00002747164,0.009032302],"study_design_scores_gemma":[0.000006813033,0.0002755461,0.9858701,0.000004112279,0.00002125846,0.0002081797,0.0002644925,0.003987384,0.008882007,0.0003056555,0.0001597418,0.00001475824],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997357,0.00002104355,0.0001437157,0.000007196194,4.018651e-7,0.000001422255,0.000009629819,0.000002555094,0.00007839638],"genre_scores_gemma":[0.9996306,0.00001582306,0.0002573493,0.000005494015,8.222185e-7,0.000003208655,0.00002460385,0.000001777758,0.0000603065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001388414,"threshold_uncertainty_score":0.003090739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02939934833900304,"score_gpt":0.2952459938869638,"score_spread":0.2658466455479607,"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."}}