{"id":"W4413353154","doi":"10.3390/w17162470","title":"Coastal Wetland Management and Restoration: Importance of Abiotic Factors and Vegetation for Healthy Fish Communities in the Laurentian Great Lakes","year":2025,"lang":"en","type":"article","venue":"Water","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto and Region Conservation Authority; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wetland; Abiotic component; Vegetation (pathology); Fish <Actinopterygii>; Environmental science; Ecology; Fishery; Geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003089298,0.0001195065,0.0001236852,0.0003678328,0.000548243,0.0005254348,0.0001752646,0.0001331379,0.000395054],"category_scores_gemma":[0.0007257139,0.00006279338,0.00009763856,0.0003533613,0.0004782483,0.0002292464,0.0003815819,0.0001065503,0.00003098548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002107796,"about_ca_system_score_gemma":0.001485134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3963608,"about_ca_topic_score_gemma":0.7333198,"domain_scores_codex":[0.9998442,0.0000376081,0.000007306038,0.00003228365,0.00003877798,0.00003983952],"domain_scores_gemma":[0.9996909,0.00003632274,0.0001059992,0.00001332696,0.00005835606,0.00009517089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006796542,0.00001969384,0.9881238,0.00002063463,0.00002771223,0.0001025008,0.000919099,0.0002350519,0.003055304,0.00003721347,0.000156332,0.007234626],"study_design_scores_gemma":[5.378947e-7,0.000006551393,0.999511,0.00000126183,0.000001450816,0.000007946904,0.0002766207,0.000077923,0.00003309363,0.000005047179,0.00007759065,9.596419e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997079,0.00004130797,0.00001976949,0.00002634192,4.762314e-7,0.000001425142,0.0000378355,0.000001101305,0.0001638746],"genre_scores_gemma":[0.9996938,0.0000279069,0.00006331313,0.000009631886,0.000001205716,0.000002504226,0.00004279142,4.325926e-7,0.0001585178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6036392,"threshold_uncertainty_score":0.7881074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205750728839656,"score_gpt":0.2278122273757318,"score_spread":0.2157547200873353,"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."}}