{"id":"W6962659871","doi":"10.17882/97201","title":"Modelling microplastic bioaccumulation and biomagnification potential in the Galápagos penguin ecosystem using Ecopath and Ecosim (EwE) with Ecotracer","year":2023,"lang":"en","type":"dataset","venue":"SEANOE","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"","keywords":"Microplastics; Bioaccumulation; Marine ecosystem; Biomagnification; Ecosystem; Marine debris; Marine pollution","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":[0.000417749,0.0006441167,0.0003733317,0.0008815171,0.0002855465,0.0008023477,0.001243706,0.001040515,0.003114024],"category_scores_gemma":[0.001311472,0.0003276708,0.001202432,0.0009519599,0.0003255109,0.0005736511,0.0006802548,0.000685654,0.0006379863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009202558,"about_ca_system_score_gemma":0.0006349419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07159743,"about_ca_topic_score_gemma":0.07811529,"domain_scores_codex":[0.9998914,0.00002726809,0.000008693956,0.00003060859,0.00001797702,0.00002398407],"domain_scores_gemma":[0.9994518,0.0002925907,0.00004464448,0.00007192247,0.00007748793,0.00006159475],"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":[0.0003672971,0.0002087354,0.08093656,0.0005574236,0.0003744089,0.0004389743,0.0001703397,0.8726095,0.002202041,0.002045344,0.02342299,0.01666643],"study_design_scores_gemma":[0.0001973212,0.0001221633,0.05024934,0.00007911503,0.00007853125,0.0001669545,0.0002653346,0.9241233,0.001238417,0.003277184,0.02010729,0.00009505246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8432812,0.000744757,0.005357024,0.0008979527,0.0001038801,0.00007086836,0.143243,0.001311736,0.004989658],"genre_scores_gemma":[0.8836852,0.0004066793,0.01153431,0.0001822766,0.00003420615,0.0001521504,0.1018176,0.0001908891,0.001996705],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.07159743,"threshold_uncertainty_score":0.1423613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04019076514203252,"score_gpt":0.2702641002702255,"score_spread":0.2300733351281929,"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."}}