{"id":"W2603034296","doi":"10.1093/conphys/cox021","title":"Compatibility of preparatory procedures for the analysis of cortisol concentrations and stable isotope (δ13C, δ15N) ratios: a test on brown bear hair","year":2017,"lang":"en","type":"article","venue":"Conservation Physiology","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Health Authority; University of Saskatchewan; Western University; Environment and Climate Change Canada","funders":"Narodowe Centrum Badań i Rozwoju; Naturvårdsverket; Austrian Science Fund; Miljødirektoratet; Svenska Jägareförbundet","keywords":"Methanol; δ13C; Isotope; Chloroform; Stable isotope ratio; δ15N; Ursus; Isotope analysis; Biology; Isotopes of nitrogen; Environmental chemistry; Hair analysis; Chromatography; Nitrogen; Chemistry; Ecology; Organic chemistry; Population; Pathology","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":[0.003895731,0.001317093,0.00051828,0.0007012492,0.001037598,0.0007576524,0.0007269976,0.001151109,0.002620815],"category_scores_gemma":[0.005723312,0.0007269869,0.0007361118,0.0005387905,0.001388874,0.0006061597,0.0008170705,0.001370966,0.001363053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000199208,"about_ca_system_score_gemma":0.0008060072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000989082,"about_ca_topic_score_gemma":0.002207719,"domain_scores_codex":[0.9961125,0.001007257,0.0003411514,0.001250902,0.0009502002,0.0003380362],"domain_scores_gemma":[0.9953917,0.001681668,0.0005230197,0.0009555407,0.001239634,0.0002084101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005590487,0.0001566985,0.001113098,0.0001465107,0.00003251688,0.0000885523,0.0001968122,0.00006646793,0.9937063,0.00008637033,0.00008223418,0.003765548],"study_design_scores_gemma":[0.0001235115,0.005217666,0.02684854,0.0001133449,0.0003322234,0.0009441728,0.0004328192,0.001012657,0.9535792,0.000441476,0.01086485,0.00008936271],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8313814,0.003809491,0.1513018,0.0006916099,0.001148718,0.004143728,0.001465779,0.000658232,0.005399201],"genre_scores_gemma":[0.5791352,0.006059764,0.3909867,0.001424058,0.0006106558,0.009200201,0.004112076,0.001046621,0.007424819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003895731,"threshold_uncertainty_score":0.02060282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287296158868949,"score_gpt":0.2821211501582903,"score_spread":0.2592481885696007,"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."}}