{"id":"W4385277479","doi":"10.1002/ecs2.4533","title":"Trait‐based and multi‐scale approach provides insight on responses of freshwater mussels to environmental heterogeneity","year":2023,"lang":"en","type":"article","venue":"Ecosphere","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biological dispersal; Ecology; Trait; Spatial ecology; Spatial variability; Metacommunity; Biology; Species distribution; Habitat; Population; Statistics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001977301,0.0001478225,0.0001696971,0.00002355446,0.0001188236,0.00001058025,0.0001472733,0.0001030943,0.006230561],"category_scores_gemma":[0.00001772298,0.0001212125,0.00004614197,0.0001223233,0.0002002109,0.00008799117,0.0001243247,0.00009048782,0.002583967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005773902,"about_ca_system_score_gemma":0.000008018702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007372456,"about_ca_topic_score_gemma":0.001157057,"domain_scores_codex":[0.9989337,0.0001024004,0.0001877715,0.0003592962,0.0001672135,0.0002496465],"domain_scores_gemma":[0.9995644,0.00006320863,0.00004767218,0.0002157844,0.000001411375,0.0001075037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005566334,0.001864991,0.5464398,0.00006352801,0.00003966406,0.0000595692,0.004317538,0.004417128,0.3766182,0.000009980334,0.04779418,0.01781878],"study_design_scores_gemma":[0.0006337849,0.0003747142,0.8791129,0.000009626588,0.00001925929,0.000003209876,0.0002780154,0.0125132,0.1042146,0.00002086466,0.002592136,0.0002276614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977802,0.000006722925,0.0001500067,0.0001343795,0.00004925201,0.0003980535,0.00008634971,0.00004258369,0.001352467],"genre_scores_gemma":[0.9914103,0.000001940489,0.005903196,0.0003971872,0.00001043107,0.00007015346,0.00002496852,0.00001681122,0.002164996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3326731,"threshold_uncertainty_score":0.9981926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02547513237587163,"score_gpt":0.2436211131725607,"score_spread":0.2181459807966891,"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."}}