{"id":"W2060099877","doi":"10.1016/s0380-1330(03)70498-5","title":"Seasonal Patterns in Growth, Blood Consumption, and Effects on Hosts by Parasitic-Phase Sea Lampreys in the Great Lakes: An Individual-Based Model Approach","year":2003,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"U.S. Geological Survey","keywords":"Petromyzon; Lamprey; Trout; Salvelinus; Fishery; Population; Biology; Ecology; Environmental science; Oceanography; Geology; Fish <Actinopterygii>","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":[0.0008360831,0.0005060365,0.0007980482,0.0003530922,0.0003629003,0.0007919989,0.0009532956,0.001052568,0.00138808],"category_scores_gemma":[0.001434606,0.0006555957,0.0009153089,0.0003094347,0.0007551152,0.0006738536,0.0004074552,0.000503775,0.0001752859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118617,"about_ca_system_score_gemma":0.0006819996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04409648,"about_ca_topic_score_gemma":0.04291192,"domain_scores_codex":[0.9998313,0.00007101367,0.000006928887,0.00004315602,0.0000086576,0.00003891032],"domain_scores_gemma":[0.9991393,0.0004899229,0.0001146255,0.00006087204,0.0000618324,0.0001334625],"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":[0.001114201,0.0003372148,0.1334689,0.00006026751,0.0005860844,0.000202522,0.0002948786,0.8527598,0.003935952,0.002294333,0.0007311914,0.004214684],"study_design_scores_gemma":[0.00008957662,0.0003190149,0.08133751,0.000006517028,0.0002094059,0.00008080328,0.0001868635,0.9158903,0.0003069863,0.001373823,0.0001642673,0.00003491064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988172,0.00002831247,0.0007450468,0.00007271041,0.000002132733,0.000003724681,0.0001302491,0.00001381553,0.0001868636],"genre_scores_gemma":[0.9987023,0.00005482581,0.0004505271,0.00001767591,0.000003182765,0.0000146319,0.000153134,0.000006660608,0.0005970328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04409648,"threshold_uncertainty_score":0.08767962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04375313176254121,"score_gpt":0.3231450354014452,"score_spread":0.279391903638904,"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."}}