{"id":"W4406219624","doi":"10.1111/maec.12859","title":"Marine Fish Passage—Underappreciated Threats to Connectivity Within the Marine Environment","year":2025,"lang":"en","type":"article","venue":"Marine Ecology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Ocean Tracking Network; St. Francis Xavier University; Dalhousie University","funders":"HORIZON EUROPE Widening Participation and Strengthening the European Research Area; Fisheries and Oceans Canada; HORIZON EUROPE Framework Programme; Natural Sciences and Engineering Research Council of Canada; European Commission; Liber Ero Foundation; St. Francis Xavier University; Norges Forskningsråd; Biodiversa+","keywords":"Marine fish; Fish <Actinopterygii>; Fishery; Marine protected area; Microplastics; Oceanography; Biology; Ecology; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007959232,0.0003767356,0.0005219186,0.00006607253,0.0004481492,0.00004673181,0.0007177463,0.0001454251,0.03027249],"category_scores_gemma":[0.000260413,0.0003037479,0.0001211864,0.0005319131,0.0002936462,0.0000970832,0.0106545,0.0003993179,0.001258421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006680989,"about_ca_system_score_gemma":0.00002511277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008401582,"about_ca_topic_score_gemma":0.1252881,"domain_scores_codex":[0.9974375,0.0002820423,0.0005048187,0.0008288483,0.0002939928,0.0006528222],"domain_scores_gemma":[0.9984343,0.0004558411,0.0001591639,0.0007936762,0.00001401737,0.0001429837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001131032,0.0002653985,0.8646098,0.00001667542,0.0001242887,0.00002589546,0.00005409664,0.0005810456,0.00004838475,0.00137229,0.01999066,0.1127983],"study_design_scores_gemma":[0.0005753734,0.0002588907,0.8827038,0.00000354637,0.00005696026,0.000009554013,0.00002869459,0.0003469571,0.0001222874,0.01127227,0.1043531,0.0002685203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6614753,0.00001025543,0.00007908485,0.02119213,0.0004658337,0.001184026,0.000007973412,0.000115062,0.3154704],"genre_scores_gemma":[0.9486966,0.0002076794,0.001238827,0.01805272,0.00009222286,0.0004773142,0.00004096318,0.00003833362,0.03115535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2872213,"threshold_uncertainty_score":0.9999415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275848537335583,"score_gpt":0.2324194889128037,"score_spread":0.2196610035394479,"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."}}