{"id":"W4416368827","doi":"10.1007/s11273-025-10102-y","title":"Seasonal phenology, diversity, and relative abundance of macroinvertebrate waterfowl foods in a coastal wetland landscape in Maritime Canada","year":2025,"lang":"en","type":"article","venue":"Wetlands Ecology and Management","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ducks Unlimited Canada; Acadia University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ducks Unlimited Canada","keywords":"Waterfowl; Wetland; Salt marsh; Habitat; Invertebrate; Marsh; Biodiversity; Abundance (ecology)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001869069,0.0001044167,0.0002111056,0.0000812844,0.0002550452,0.00000333067,0.0001083231,0.00008314637,0.0001322925],"category_scores_gemma":[0.000007784209,0.0000981236,0.00001196069,0.0001443141,0.0003299086,0.00007375304,0.002146761,0.0001176727,0.00000306076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006737479,"about_ca_system_score_gemma":0.00001170668,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03456971,"about_ca_topic_score_gemma":0.9515956,"domain_scores_codex":[0.9992433,0.00006413825,0.0001339198,0.000267373,0.00005889755,0.0002324265],"domain_scores_gemma":[0.9997925,0.00006972248,0.00004039267,0.0000650894,0.000004055395,0.00002828647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001082953,0.00005868348,0.9948957,0.00004863903,0.00007068666,0.0001005284,0.0003262019,0.00002358829,0.000005443191,0.001081367,0.002842531,0.0004383386],"study_design_scores_gemma":[0.00157449,0.00008346143,0.9949028,0.00001668475,0.00003096403,0.000002909042,0.0004604397,0.0003077334,0.00001156492,0.001577158,0.0009403128,0.00009148078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845167,0.00007252271,0.000009350337,0.001804819,0.00008676836,0.0001949714,0.00001749479,0.000005116932,0.01329223],"genre_scores_gemma":[0.9975326,0.0004615204,0.00008508089,0.0004806945,0.000002151412,0.000008643776,0.000007984865,0.000001401784,0.001419894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9170259,"threshold_uncertainty_score":0.9718592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005404567656662829,"score_gpt":0.1828192235103646,"score_spread":0.1774146558537018,"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."}}