{"id":"W3126156191","doi":"10.3389/fevo.2021.627497","title":"Screening for High-Risk Marine Invaders in the Hudson Bay Region, Canadian Arctic","year":2021,"lang":"en","type":"article","venue":"Frontiers in Ecology and Evolution","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Nunavut Wildlife Management Board; Polar Knowledge Canada; World Wildlife Fund","keywords":"Bay; Arctic; Zooplankton; Geography; Ecology; Marine conservation; Invasive species; Taxon; Oceanography; Resource (disambiguation); Fishery; Environmental science; Biology; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004269748,0.0000826937,0.0001294349,0.00009292692,0.0002545138,0.000009395362,0.0001133807,0.0001547203,0.0002555856],"category_scores_gemma":[0.0003938701,0.00007514546,0.00002200395,0.0002220102,0.0002584252,0.0001331601,0.00007046375,0.0002216886,0.000006802774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000387312,"about_ca_system_score_gemma":0.00004846471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0482128,"about_ca_topic_score_gemma":0.8778408,"domain_scores_codex":[0.9990424,0.0001968744,0.00014763,0.0002462998,0.00004523269,0.0003215746],"domain_scores_gemma":[0.9996666,0.000106846,0.00004808353,0.0001221037,0.00000906361,0.00004726866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002432115,0.00002059226,0.9747613,0.000005122633,0.000007454767,0.00002195931,0.000220908,0.0003621718,0.000002032876,0.001425614,0.02093397,0.002214526],"study_design_scores_gemma":[0.0004769245,0.00006443934,0.9668908,0.000003830276,0.00001230319,0.00002031863,0.001214875,0.0009827495,0.000005364227,0.0264572,0.003787362,0.00008380304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987223,0.000106267,0.002449453,0.005765835,0.0006918823,0.000305703,0.000003894785,0.000006563047,0.003447443],"genre_scores_gemma":[0.9940403,0.000151159,0.00409445,0.0009294657,0.00003609305,0.0000634973,0.00002889842,0.000004470284,0.0006516374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8296279,"threshold_uncertainty_score":0.9581252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008301985436209724,"score_gpt":0.1852438502859143,"score_spread":0.1769418648497046,"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."}}