{"id":"W2947833411","doi":"10.1002/rcm.8495","title":"Assessing dual hair sampling for isotopic studies of grizzly bears","year":2019,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Rump; Chemistry; Isotope; Isotope-ratio mass spectrometry; Ursus; Isotopes of nitrogen; Sampling (signal processing); Mass spectrometry; Nitrogen; Animal science; Chromatography; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001159518,0.0005097883,0.0004610368,0.0008847244,0.001188988,0.0005352861,0.0007128083,0.0005078635,0.00102294],"category_scores_gemma":[0.001494494,0.0002323157,0.0002243599,0.0004766278,0.0009206575,0.0004199618,0.000737657,0.000292432,0.0003054083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005069927,"about_ca_system_score_gemma":0.0007034966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01483708,"about_ca_topic_score_gemma":0.04996143,"domain_scores_codex":[0.999151,0.0001632869,0.00003202994,0.0002864785,0.000294224,0.00007302919],"domain_scores_gemma":[0.9992761,0.00008960834,0.0002079473,0.00006764767,0.0002620392,0.0000965431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006182839,0.0001399027,0.7305056,0.0001605483,0.0001080977,0.0002573075,0.0008082439,0.0002964127,0.2443433,0.0002015759,0.0001872589,0.02237362],"study_design_scores_gemma":[0.00002540462,0.0009462151,0.961337,0.00003451419,0.0001039964,0.0007279403,0.001063759,0.001116394,0.03311286,0.0002681182,0.001244108,0.00001976673],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9925921,0.0003285378,0.005463618,0.00003717774,0.0000206341,0.0001372506,0.0002457649,0.0000171017,0.001157954],"genre_scores_gemma":[0.982029,0.0003606522,0.01648351,0.00009697736,0.00003878279,0.0001477954,0.0002410552,0.00001168064,0.0005906204],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01483708,"threshold_uncertainty_score":0.02950144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06394969807783533,"score_gpt":0.3586689992064639,"score_spread":0.2947193011286286,"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."}}