{"id":"W4389264878","doi":"10.1016/j.jglr.2023.102272","title":"Spatial patterns of resource subsidies in Great Lakes tributaries from migratory fishes","year":2023,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Subsidy; Tributary; STREAMS; Environmental science; Ecology; Fishery; Geography; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000200261,0.0001234765,0.0002144462,0.0009147217,0.0006460272,0.0005513125,0.0003366048,0.00024053,0.001517594],"category_scores_gemma":[0.001085242,0.0002244232,0.000202774,0.001203009,0.0006136078,0.000374243,0.0009400357,0.0001859404,0.000146713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005990906,"about_ca_system_score_gemma":0.0004390888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07022321,"about_ca_topic_score_gemma":0.2338681,"domain_scores_codex":[0.9998491,0.00003317723,0.00001571288,0.00003714282,0.00002399829,0.00004094443],"domain_scores_gemma":[0.9992112,0.0001627057,0.0002676826,0.00004797231,0.0001203758,0.0001899996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001084205,0.00001718701,0.9920959,0.00001468234,0.00003396382,0.00009917787,0.003277862,0.00005055332,0.002387955,0.000104953,0.00008798252,0.001721349],"study_design_scores_gemma":[0.000001070686,0.000005175585,0.9990661,0.000001492278,0.000002965243,0.00002693793,0.0008011181,0.00003073343,0.00001591158,0.00001017253,0.00003724239,0.000001156736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998255,0.00001491921,0.000006943341,0.000008704889,2.965509e-7,6.810385e-7,0.00002802485,3.852355e-7,0.0001146808],"genre_scores_gemma":[0.9997538,0.00001759039,0.00002227888,0.000005110492,0.000001051598,0.000002478818,0.00006587927,7.672053e-7,0.000130952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07022321,"threshold_uncertainty_score":0.1396289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0428835125818092,"score_gpt":0.2973184643299671,"score_spread":0.2544349517481579,"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."}}