{"id":"W4413143309","doi":"10.1016/j.ecolind.2025.114014","title":"The role of wetland vegetation and water connectivity in shaping waterbird populations under human disturbance","year":2025,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Disturbance (geology); Wetland; Ecology; Vegetation (pathology); Environmental science; Geography; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002468294,0.00006444762,0.0001099456,0.0000229175,0.0002578709,0.00001349275,0.0001020695,0.00004303241,0.0001443713],"category_scores_gemma":[0.00003895668,0.00003495551,0.00001974652,0.0001387099,0.0002188685,0.00005239952,0.0003071525,0.0000860618,0.00001211266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000078559,"about_ca_system_score_gemma":0.000001685081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005491389,"about_ca_topic_score_gemma":0.009399839,"domain_scores_codex":[0.9993742,0.00006511663,0.0001687572,0.000162897,0.000075635,0.0001534084],"domain_scores_gemma":[0.9997711,0.00008720031,0.00004156228,0.00007750792,0.000002222738,0.00002037335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003507664,0.00004498625,0.9894899,0.000005157237,0.000004578343,3.713376e-7,0.00008866431,0.00005253096,0.0007841027,0.006229135,0.0000194583,0.003277618],"study_design_scores_gemma":[0.0001014211,0.00002940266,0.9735915,0.000006183695,0.000004959225,1.436087e-7,0.00006181728,0.00008482772,0.0007680871,0.02346019,0.00184557,0.00004586922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890314,0.0001511132,0.000009767753,0.0003717346,0.00002448707,0.0001545983,3.962975e-7,0.00001015146,0.01024637],"genre_scores_gemma":[0.9997586,0.00002516282,0.00002277291,0.0001058901,0.00000393566,0.0000264513,0.000001484153,0.000002032805,0.00005366715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01723105,"threshold_uncertainty_score":0.5245331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02160679579317322,"score_gpt":0.2673133632410217,"score_spread":0.2457065674478485,"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."}}