{"id":"W4381149543","doi":"10.3391/mbi.2023.14.2.11","title":"Laboratory and field comparisons of TFM bar formulations used to treat small streams for larval sea lamprey","year":2023,"lang":"en","type":"article","venue":"Management of Biological Invasions","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; U.S. Fish and Wildlife Service; Great Lakes Fishery Commission","keywords":"Lamprey; STREAMS; Larva; Fishery; Bar (unit); Field (mathematics); Biology; Environmental science; Ecology; Oceanography; Geology; Computer science; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002089809,0.0001023387,0.0001998278,0.00005670897,0.0001670092,0.000005306232,0.0001617817,0.00006473307,0.0002577629],"category_scores_gemma":[0.00006420903,0.00007966741,0.0000497497,0.0002984959,0.0001307881,0.00003970984,0.0006452189,0.00004001067,0.00005019968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001444884,"about_ca_system_score_gemma":0.000001555252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000395291,"about_ca_topic_score_gemma":0.0005720469,"domain_scores_codex":[0.9992333,0.00003202273,0.0002097124,0.0002399675,0.00007708902,0.0002078789],"domain_scores_gemma":[0.9994112,0.0002982276,0.00005825487,0.0001676397,0.000009793506,0.00005484159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007369032,0.0003494999,0.8535161,0.0001366566,0.0001429741,0.000005568962,0.0002369841,0.0009047094,0.001901748,0.01071014,0.129346,0.00267588],"study_design_scores_gemma":[0.000680128,0.0007481,0.9745053,0.00003176614,0.0000990949,9.736886e-8,0.0009269193,0.0005903713,0.00205031,0.001962674,0.01822406,0.0001811986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881085,0.000007828739,0.001643609,0.001974536,0.00004448718,0.0007577334,0.0000892316,0.00005994921,0.007314135],"genre_scores_gemma":[0.9945239,0.0001200127,0.003875212,0.0003515893,0.000006619707,0.0001486946,0.00004054741,0.000004709018,0.0009287258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1209892,"threshold_uncertainty_score":0.3248743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1256016284037461,"score_gpt":0.2829554850806144,"score_spread":0.1573538566768683,"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."}}