{"id":"W156113278","doi":"10.1016/s1936-7961(07)00003-6","title":"Applying Isotopic Methods to Tracking Animal Movements","year":2008,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":134,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Isotope analysis; Organism; Stable isotope ratio; Food web; Ecology; Range (aeronautics); Temporal scales; Tracking (education); Computer science; Biological system; Biology; Biochemical engineering; Trophic level; Paleontology; Psychology; Physics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006546602,0.0008650235,0.0004643894,0.001295482,0.0002597155,0.001363908,0.0009722271,0.0009902376,0.01711748],"category_scores_gemma":[0.0005402149,0.0005162147,0.000303545,0.001747347,0.000618947,0.001537728,0.0008523746,0.000858197,0.009590048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004474813,"about_ca_system_score_gemma":0.0003897372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004721778,"about_ca_topic_score_gemma":0.01304549,"domain_scores_codex":[0.9998133,0.00001907802,0.0000106778,0.00004771982,0.0001019785,0.000007269359],"domain_scores_gemma":[0.9998469,0.00008512563,0.000007067552,0.00002104415,0.00003371621,0.00000610391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001255231,0.00002196445,0.0008579516,0.0003014609,0.00002625954,0.0000854729,0.0001394173,0.000904509,0.02497252,0.0115269,0.01674501,0.944406],"study_design_scores_gemma":[0.00000736747,0.00003636661,0.003697185,0.0002583832,0.00006375452,0.001284495,0.0001616564,0.006263956,0.02996123,0.02748255,0.930727,0.00005601629],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006132791,0.04628766,0.7071508,0.0008566488,0.001654782,0.00009979557,0.0005790956,0.001705367,0.2355331],"genre_scores_gemma":[0.02086894,0.05095323,0.340772,0.0006954676,0.0003972171,0.0001455684,0.0005491027,0.0007709748,0.5848475],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01711748,"threshold_uncertainty_score":0.05726367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02555336740708035,"score_gpt":0.2934432971983202,"score_spread":0.2678899297912398,"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."}}