{"id":"W2561105729","doi":"10.1002/ecy.1681","title":"Individual isotopic specializations predict subsequent inter‐individual variation in movement in a freshwater fish","year":2016,"lang":"en","type":"article","venue":"Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Ministry of Natural Resources and Forestry; Fisheries and Oceans Canada; Carleton University; University of Waterloo","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; BC Hydro; Fisheries and Oceans Canada; Mitacs; Ontario Ministry of Research, Innovation and Science; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Trophic level; Pelagic zone; Littoral zone; Predation; Ecology; Intraspecific competition; Biology; Isotope analysis; Niche; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003985889,0.0001597639,0.000194875,0.0007919307,0.000247455,0.0002398999,0.0001817862,0.0002483608,0.001058598],"category_scores_gemma":[0.0008254129,0.0002128849,0.0001659786,0.0003010471,0.0004221288,0.0002009963,0.0004297407,0.0001500647,0.0001364297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001812103,"about_ca_system_score_gemma":0.0001121544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002576375,"about_ca_topic_score_gemma":0.006804966,"domain_scores_codex":[0.999896,0.00002614104,0.000008491765,0.00003306517,0.00001930284,0.00001698393],"domain_scores_gemma":[0.999463,0.0001303762,0.0001955003,0.00006222921,0.00005756403,0.00009135934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001407982,0.00004518631,0.9499795,0.00001170883,0.00009631502,0.00003441556,0.0002059572,0.0002991771,0.04667654,0.00002935921,0.00003828904,0.002442645],"study_design_scores_gemma":[8.853746e-7,0.00003408271,0.9992983,6.621954e-7,0.000005242083,0.00002136441,0.00004401382,0.0003435628,0.0002205593,0.00001748902,0.00001241142,0.000001492689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997993,0.000009532169,0.0001032773,0.00000249436,3.662615e-7,0.000001076721,0.00001660852,0.000001443889,0.00006594689],"genre_scores_gemma":[0.9997754,0.000005406182,0.0001140006,0.000003844438,5.233551e-7,0.000002567496,0.00003474261,0.000001033377,0.00006256684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002576375,"threshold_uncertainty_score":0.005122721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261342556196878,"score_gpt":0.2159781690571046,"score_spread":0.2033647434951358,"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."}}