{"id":"W3190746895","doi":"10.1139/cjfas-2021-0012","title":"Quantification of land–sea nutrient fluxes supplied by allis shad across the species’ range","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fish migration; Alosa; Habitat; Ecology; Subsidy; Ecosystem; Fishery; Nutrient; Range (aeronautics); Ecosystem services; Population; Environmental science; Geography; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001828242,0.000134193,0.0001198023,0.0007403412,0.0002421945,0.0003157095,0.0001540283,0.0001284149,0.0005196879],"category_scores_gemma":[0.0003086975,0.00008251211,0.0001763112,0.0004661215,0.0001873123,0.0004195665,0.000309384,0.0001369759,0.00009633051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000390503,"about_ca_system_score_gemma":0.000180334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01187912,"about_ca_topic_score_gemma":0.03465264,"domain_scores_codex":[0.9999362,0.00001076361,0.00000618325,0.00002904966,0.00001161944,0.000006153343],"domain_scores_gemma":[0.9998156,0.00004396615,0.00006661153,0.00001851198,0.00002720136,0.0000280686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000118629,0.00002108617,0.9649944,0.00002818027,0.00005209717,0.00004206603,0.0002726285,0.001873104,0.02269965,0.0002499512,0.00004164583,0.009606488],"study_design_scores_gemma":[0.000003379712,0.0000489312,0.9939826,0.000002952401,0.00001651375,0.00005553358,0.0002639664,0.003974165,0.001223151,0.0001853009,0.0002385837,0.000004798622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992434,0.00001943652,0.0002125061,0.000002764174,3.241989e-7,0.000001706434,0.000105427,0.00000321605,0.0004112192],"genre_scores_gemma":[0.999103,0.00002260958,0.0005630677,0.000002155643,5.956761e-7,0.00000463777,0.0001642688,0.000001442608,0.0001382932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01187912,"threshold_uncertainty_score":0.02361995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887610819035724,"score_gpt":0.2211644481247501,"score_spread":0.2022883399343929,"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."}}