{"id":"W2273251296","doi":"10.1002/eco.1714","title":"Identifying links between Fluvial Geomorphic Response Units (FGRUs) and fish species in the Assiniboine River, Manitoba","year":2015,"lang":"en","type":"article","venue":"Ecohydrology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Fisheries and Oceans Canada; Global Institute for Water Security; University of Saskatchewan","funders":"Agriculture and Agri-Food Canada; University of Saskatchewan; Natural Resources Canada; Research Manitoba","keywords":"Electrofishing; Habitat; Fluvial; Resource (disambiguation); Range (aeronautics); Environmental science; Fauna; Geography; Species distribution; Hydrology (agriculture); River ecosystem; Ecology; 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":[0.001494569,0.0001302124,0.0001959268,0.00008745872,0.0002182471,0.00002278129,0.000299035,0.0001678482,0.0002849825],"category_scores_gemma":[0.0003032208,0.0001057475,0.00001701279,0.0002834142,0.0006827132,0.0001663963,0.0005374028,0.0003377729,0.0002695264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007115301,"about_ca_system_score_gemma":0.000009299786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000298681,"about_ca_topic_score_gemma":0.01418718,"domain_scores_codex":[0.9985631,0.0004793383,0.0001990406,0.0002855595,0.0001465345,0.0003264908],"domain_scores_gemma":[0.9992861,0.0003823355,0.00007096528,0.0002005165,0.000007680455,0.00005241768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000159625,0.00003758014,0.9508667,0.000004312004,0.00002813745,0.0001259971,0.002706664,0.0001701344,0.00004928823,0.0001227989,0.04548201,0.0002467632],"study_design_scores_gemma":[0.0006833133,0.0001802827,0.9539841,0.000002899822,0.00002393153,0.00001520267,0.0002885443,0.0001178086,0.00001805875,0.003343311,0.04123075,0.0001118237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810423,0.00002147642,0.0000235912,0.01060267,0.0002386608,0.0002011841,0.00001020409,0.00002629828,0.007833617],"genre_scores_gemma":[0.9958427,0.00004250812,0.00007111505,0.003147475,0.0001016946,0.00002297902,0.00001388878,0.000007545496,0.0007501254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01480037,"threshold_uncertainty_score":0.7916777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05802757722997409,"score_gpt":0.2483982890319952,"score_spread":0.1903707118020211,"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."}}