{"id":"W1524528657","doi":"10.1111/j.1365-2664.2007.01350.x","title":"Habitat use and movement patterns for a fluvial species, the Arctic grayling, in a watershed impacted by a large reservoir: evidence from otolith microchemistry","year":2007,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Northern British Columbia","funders":"University of British Columbia; University of Northern British Columbia","keywords":"Grayling; Otolith; Watershed; Fluvial; Fish migration; Arctic; Habitat; Ecology; Fishery; Environmental science; Hydrology (agriculture); Geology; Fish <Actinopterygii>; Biology; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001006453,0.000125087,0.0002409607,0.00003299318,0.0001681408,0.00002677395,0.0002351723,0.00008960447,0.0003706333],"category_scores_gemma":[0.000116025,0.00009007855,0.00004636896,0.00006186836,0.0001667419,0.0001308086,0.0002581358,0.0002259375,0.000007242859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002122941,"about_ca_system_score_gemma":0.000008949665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003047403,"about_ca_topic_score_gemma":0.03843303,"domain_scores_codex":[0.9988747,0.00002632011,0.0003662552,0.0002054714,0.0001211143,0.0004061837],"domain_scores_gemma":[0.9989901,0.0005535389,0.0002477152,0.0001277547,0.00001492492,0.00006598088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005961182,0.0001426671,0.9454936,0.00001923322,0.00008012642,0.00002129662,0.001586782,0.0000332471,0.02694594,0.00001104702,0.0250364,0.00003352188],"study_design_scores_gemma":[0.001390274,0.0001644158,0.9906474,0.00001936957,0.00004563772,0.000004538972,0.00104905,0.00003464077,0.002853911,0.001377508,0.002313644,0.00009956446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967176,0.00002888591,0.0006861545,0.002006989,0.00008309479,0.0003725937,0.00001357055,0.000004481174,0.00008664661],"genre_scores_gemma":[0.9965816,0.0001675915,0.0007317289,0.002320273,0.00005259727,0.00001892321,0.000006257221,0.000007846368,0.0001131768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04515383,"threshold_uncertainty_score":0.979113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311247154052111,"score_gpt":0.2285742648025798,"score_spread":0.2154617932620587,"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."}}