{"id":"W4416089271","doi":"10.3354/meps15028","title":"Biophysical influences and Appendicularia abundance differentiate zooplankton and age-0 fish communities spanning subarctic and Arctic bioregions","year":2025,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zooplankton; Subarctic climate; Pelagic zone; Arctic; Bay; Abundance (ecology); Plankton; Forage fish","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001745773,0.0002729149,0.0001946987,0.0006917317,0.0005121856,0.0004895399,0.0001551958,0.0001372152,0.0008095013],"category_scores_gemma":[0.0003962491,0.0001478268,0.0002040729,0.0005052394,0.0003189374,0.000305674,0.0004194701,0.0001160791,0.0001332274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008399796,"about_ca_system_score_gemma":0.0006869075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3008045,"about_ca_topic_score_gemma":0.6403883,"domain_scores_codex":[0.9998815,0.00001166618,0.000007434764,0.00004028844,0.00002080747,0.00003831539],"domain_scores_gemma":[0.999723,0.00002709063,0.00009420015,0.00001024598,0.00006918811,0.00007619066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002500429,0.000005550876,0.9937342,0.000007433371,0.00001823678,0.00002062646,0.0001797806,0.00002914282,0.004039795,0.00001225548,0.00001700824,0.001910875],"study_design_scores_gemma":[1.149804e-7,0.000003591469,0.9998092,6.576979e-7,0.000002316353,0.0000059872,0.0001067461,0.00001764615,0.00002861503,0.00000190163,0.0000227588,4.781697e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995977,0.00008367273,0.00003669449,0.000004658428,7.357303e-7,0.000001458588,0.00006970752,0.000001542979,0.0002038388],"genre_scores_gemma":[0.9993756,0.00009069579,0.00009954014,0.00001083869,0.000001388345,0.000002212904,0.0002177148,9.269149e-7,0.0002010018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3008045,"threshold_uncertainty_score":0.5981072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009247744168007015,"score_gpt":0.2432188506533907,"score_spread":0.2339711064853837,"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."}}