{"id":"W4380371579","doi":"10.1016/j.jglr.2023.05.008","title":"White and longnose sucker diet composition in Lake Michigan and Saginaw Bay, Lake Huron","year":2023,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Department of Forestry and Natural Resources, Purdue University; U.S. Fish and Wildlife Service; National Oceanic and Atmospheric Administration; Illinois Natural History Survey; Indiana Department of Natural Resources; U.S. Geological Survey; Purdue University","keywords":"Sucker; Bay; White (mutation); Composition (language); Environmental science; Oceanography; Hydrology (agriculture); Fishery; Geology; Biology; Zoology; Art; Geotechnical engineering","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":[0.0001335813,0.0001565872,0.0001758111,0.0008002315,0.0007267732,0.0004724179,0.0002155781,0.0002431763,0.00134623],"category_scores_gemma":[0.0004282062,0.0001675251,0.0001692378,0.0007011774,0.0002759742,0.0003038038,0.0004842085,0.000153958,0.0001814756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008494042,"about_ca_system_score_gemma":0.0004050446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1148097,"about_ca_topic_score_gemma":0.4313007,"domain_scores_codex":[0.9999037,0.00001987011,0.000008865275,0.00001990578,0.00002362725,0.0000241373],"domain_scores_gemma":[0.9997291,0.00002849257,0.00008096793,0.000006711853,0.00005109657,0.0001036896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001409127,0.00003241913,0.9958732,0.000005032379,0.00004175744,0.00008870275,0.0009386599,0.00001917497,0.001542792,0.00001515607,0.0001342859,0.001168018],"study_design_scores_gemma":[0.000001191047,0.00001444171,0.9992036,0.00000105213,0.000004981402,0.00001744738,0.0006269997,0.00004251076,0.00003263438,0.00000252352,0.00005190606,6.713819e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997558,0.000009899336,0.000004739925,0.000009944585,5.796674e-7,0.000001025315,0.00006998288,6.697143e-7,0.0001473483],"genre_scores_gemma":[0.9993818,0.00001604487,0.00002233259,0.00001759829,0.000001240388,0.000003559735,0.0001716251,9.242283e-7,0.0003849474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1148097,"threshold_uncertainty_score":0.2282829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03804087881928175,"score_gpt":0.3255123154738934,"score_spread":0.2874714366546116,"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."}}