{"id":"W2801915138","doi":"10.1002/mcf2.10021","title":"Does What Goes up Also Come Down? Using a Recruitment Model to Balance Alewife Nutrient Import and Export","year":2018,"lang":"en","type":"article","venue":"Marine and Coastal Fisheries","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"U.S. Geological Survey","keywords":"Escapement; Nutrient; Fishery; Habitat; Biology; Ecology; Alewife; Productivity; Fish migration; Environmental science; Fish <Actinopterygii>; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007452896,0.0004548346,0.0006102183,0.0003507217,0.000627577,0.001472612,0.001336216,0.001688801,0.003786148],"category_scores_gemma":[0.002108617,0.0004561704,0.0008690919,0.0003318277,0.0006993865,0.001176615,0.0006818518,0.0007303701,0.0003345831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001926836,"about_ca_system_score_gemma":0.001441413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03103948,"about_ca_topic_score_gemma":0.02267519,"domain_scores_codex":[0.9998566,0.00004538013,0.000006695644,0.00003622345,0.00001025035,0.00004486799],"domain_scores_gemma":[0.9995108,0.0002267761,0.0000922128,0.00001631709,0.00005462407,0.00009929114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001149032,0.00008379082,0.01287208,0.00004374345,0.00007103426,0.0002673712,0.00008032872,0.9538164,0.001684519,0.02682828,0.0008193779,0.003318302],"study_design_scores_gemma":[0.00001916268,0.00002668586,0.001082111,0.000007016457,0.00001591976,0.00001623088,0.0000389612,0.9953211,0.00005252911,0.00319058,0.0002222023,0.000007510422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9201868,0.0004184458,0.05869717,0.004117092,0.0001001782,0.00005699245,0.0004257555,0.0001066294,0.01589102],"genre_scores_gemma":[0.9912027,0.0001175596,0.002184924,0.0001759644,0.00001970898,0.00003660492,0.00006168478,0.00001890866,0.006181885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03103948,"threshold_uncertainty_score":0.06171763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972394067254942,"score_gpt":0.251201880046084,"score_spread":0.2214779393735346,"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."}}