{"id":"W1414934606","doi":"","title":"The influence of terrestrial matter in marine food webs of the Beaufort Sea shelf and slope","year":2015,"lang":"en","type":"dissertation","venue":"ScholarWorks-UA (University of Alaska Fairbanks)","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bureau of Ocean Energy Management; Arctic Institute of North America","keywords":"Trophic level; Pelagic zone; Benthic zone; Oceanography; Environmental science; Arctic; Food web; Organic matter; δ15N; Microbial loop; Isotope analysis; Beaufort sea; δ13C; Stable isotope ratio; Ecology; Geology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000779123,0.0002114179,0.0004534376,0.0001258084,0.0001985658,0.00001849144,0.001175721,0.0003414029,0.0006351785],"category_scores_gemma":[0.000142337,0.0001757065,0.0001588186,0.0005865512,0.0006522231,0.0004513641,0.0007515831,0.0006223755,0.00003911578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001629006,"about_ca_system_score_gemma":0.0001056094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009253107,"about_ca_topic_score_gemma":0.03274786,"domain_scores_codex":[0.9982506,0.0001933644,0.0003734749,0.0003649794,0.0005339797,0.0002836263],"domain_scores_gemma":[0.9984719,0.0001296368,0.0006560765,0.0006167787,0.0000586097,0.00006707152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003006901,0.00007497143,0.9915888,0.00004332701,0.0001234404,0.000004606537,0.001558722,0.001248931,0.0003585797,0.0000294942,0.001959631,0.002708835],"study_design_scores_gemma":[0.0006710638,0.0001012968,0.9940341,0.00008484842,0.000136314,0.000001982439,0.002563235,0.0000485223,0.0001972834,0.0007004992,0.001297011,0.0001638068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907859,0.00006333207,0.000001775276,0.0002516722,0.0001864409,0.0003648706,0.00001932162,0.00000551868,0.008321149],"genre_scores_gemma":[0.9957484,0.0001079206,0.0002213019,0.00002882787,0.00001274013,0.00000112714,0.00004117799,0.00001447103,0.003824005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03182255,"threshold_uncertainty_score":0.984902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004944212531643547,"score_gpt":0.1949790437616022,"score_spread":0.1900348312299587,"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."}}