{"id":"W4413854944","doi":"10.1016/j.marenvres.2025.107508","title":"Trawling the archives: Long-term trends in fish taxonomic and functional diversity in UK coastal community","year":2025,"lang":"en","type":"article","venue":"Marine Environmental Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Biotechnology and Biological Sciences Research Council; International Council for the Exploration of the Sea","keywords":"Trawling; Fish <Actinopterygii>; Fishery; Term (time); Diversity (politics); Geography; Ecology; Biodiversity; Functional diversity; 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":["open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001378821,0.0001466898,0.0001578409,0.000301655,0.0007833784,0.00007032794,0.0005335461,0.00006598342,0.008598612],"category_scores_gemma":[0.00004903886,0.0001273534,0.00004598965,0.0005039609,0.001425779,0.0001542669,0.01041314,0.001497936,0.00003195096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003717916,"about_ca_system_score_gemma":0.00001530329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007880365,"about_ca_topic_score_gemma":0.04630982,"domain_scores_codex":[0.997685,0.0006515249,0.0002196453,0.0003512019,0.0005340764,0.0005586063],"domain_scores_gemma":[0.9989504,0.0005277076,0.00002192511,0.0003980906,9.60297e-7,0.0001009159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000184026,0.0002410881,0.8416123,0.000007758721,0.000007382632,0.00002062397,0.0002725993,0.00002428088,0.0001977718,0.0000233377,0.0002929171,0.1571159],"study_design_scores_gemma":[0.0008083764,0.00007893475,0.995297,0.000006897385,0.000002188307,0.000003099645,0.0006964547,0.00065475,0.00007069989,0.0004893081,0.001786477,0.0001058416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8338896,0.000005594146,0.00001963819,0.0006286135,0.00002254628,0.0002261591,0.0000117783,0.000005779905,0.1651903],"genre_scores_gemma":[0.9857351,0.0002094231,0.0000256445,0.0001080864,0.00001477235,0.00005164535,0.00007850881,0.000008248507,0.01376863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.15701,"threshold_uncertainty_score":0.9987262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0560968967849059,"score_gpt":0.2886939116410847,"score_spread":0.2325970148561788,"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."}}