{"id":"W3196662378","doi":"10.1186/s13104-021-05743-0","title":"A meta-collection of nitrogen stable isotope data measured in Arctic marine organisms from the Canadian Beaufort Sea, 1983–2013","year":2021,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Waterloo; Fisheries and Oceans Canada","funders":"Natural Resources Canada; Aboriginal Affairs and Northern Development Canada; ArcticNet; Fisheries Joint Management Committee; Fisheries and Oceans Canada; Beaufort Regional Environmental Assessment","keywords":"Food web; Arctic; Trophic level; Circumpolar star; Isotope analysis; Oceanography; Environmental science; Ecology; Food chain; Apex predator; Geography; Biology; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001514905,0.001214836,0.001069234,0.01769246,0.003114533,0.001859412,0.001796946,0.0005432056,0.002858966],"category_scores_gemma":[0.004244538,0.0005410183,0.00114863,0.03078945,0.0007725548,0.0005059055,0.00177228,0.0005452948,0.001174277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01871434,"about_ca_system_score_gemma":0.03926341,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.983986,"about_ca_topic_score_gemma":0.9938314,"domain_scores_codex":[0.9980649,0.00007678466,0.0001612838,0.0004266598,0.0008800506,0.0003901456],"domain_scores_gemma":[0.993341,0.0003929526,0.0007291933,0.0004607686,0.00463264,0.0004433674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007364727,0.00007378608,0.7129951,0.007401629,0.002713853,0.0008293646,0.003128452,0.004054896,0.007039347,0.001633258,0.1662994,0.09309453],"study_design_scores_gemma":[0.0000248809,0.00001556061,0.854415,0.0008486689,0.000385806,0.0001322515,0.000900271,0.0003496298,0.001039079,0.0001263295,0.1416714,0.00009113553],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.07472928,0.006499038,0.001018759,0.0002069729,0.00005549136,0.00009488198,0.911312,0.0003132361,0.005770298],"genre_scores_gemma":[0.1541743,0.004783289,0.005273126,0.0002990779,0.00004046618,0.0003042983,0.8320601,0.0001501588,0.002915195],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01871434,"threshold_uncertainty_score":0.1357827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2077699937970569,"score_gpt":0.3381188712496728,"score_spread":0.1303488774526159,"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."}}