{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003935808,0.0001090643,0.0001518234,0.0001322612,0.00006764107,0.00001064852,0.0002286146,0.0001032028,0.01054491],"category_scores_gemma":[0.00008951572,0.00008712622,0.00002178068,0.0001647012,0.0001420358,0.0001851197,0.0004733608,0.00008029731,0.0003197974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003099573,"about_ca_system_score_gemma":0.000009621336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001589458,"about_ca_topic_score_gemma":0.3049726,"domain_scores_codex":[0.9988132,0.0001275535,0.0002919645,0.00030636,0.0001217434,0.000339151],"domain_scores_gemma":[0.9996756,0.00008653793,0.0000682718,0.0001365279,0.000003846972,0.0000291925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009361195,0.0001735409,0.9617831,0.000002553695,0.00002399464,0.0000181571,0.000931115,0.00008778742,0.00006097351,0.0009118518,0.03553315,0.0004644291],"study_design_scores_gemma":[0.0009459722,0.0001127806,0.9835546,0.00000732633,0.0000115444,6.056379e-7,0.00005816312,0.00003841122,0.00004224827,0.004668021,0.01045926,0.0001010646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828422,0.00000180448,0.0003789488,0.00818078,0.0004943179,0.0004887533,0.00004454373,0.00002793194,0.007540731],"genre_scores_gemma":[0.9945974,0.00003024307,0.0001838242,0.003376359,0.00005248274,0.0002259592,0.00002168346,0.000007236131,0.00150481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3048137,"threshold_uncertainty_score":0.9903596,"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."}}