{"id":"W4385612744","doi":"10.1016/j.pocean.2023.103105","title":"Trophic ecology of epibenthic communities exposed to different sea-ice concentrations across the Canadian Arctic Ocean","year":2023,"lang":"en","type":"article","venue":"Progress In Oceanography","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Rimouski; Fisheries and Oceans Canada; Université Laval; ArcticNet","funders":"Natural Sciences and Engineering Research Council of Canada; Institut Français de Recherche pour l'Exploitation de la Mer; ArcticNet; Université Laval","keywords":"Trophic level; Benthic zone; Food web; Ecology; Arctic; Ecological niche; Sea ice; Niche; Environmental science; Arctic ecology; Food chain; Oceanography; Species richness; Apex predator; Biology; Habitat; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005985586,0.0001832723,0.0002878949,0.0002959408,0.0005717935,0.00005302372,0.0008544193,0.0001146867,0.0003757576],"category_scores_gemma":[0.00006140961,0.000145593,0.0001275584,0.001895966,0.001398126,0.00009322599,0.0003353893,0.0003192633,0.00009871907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002527655,"about_ca_system_score_gemma":0.00004154016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006558628,"about_ca_topic_score_gemma":0.7638822,"domain_scores_codex":[0.9978823,0.0004079205,0.0004082733,0.0002478081,0.0002842919,0.0007694117],"domain_scores_gemma":[0.9987997,0.0003138689,0.0001171644,0.0005666128,0.00003519182,0.0001674499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001062448,0.00008569215,0.9905937,0.00001232188,0.00004297658,0.00001130012,0.006480256,0.001437442,0.000007677965,0.0003141895,0.000426338,0.0005774254],"study_design_scores_gemma":[0.0002614221,0.0001286863,0.9932678,0.00001736306,0.00002426519,0.000002804353,0.002575292,0.001785623,0.0002152249,0.0006077361,0.00095663,0.0001571327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955846,0.00007643281,0.000002647226,0.003206836,0.0001913325,0.0005527734,0.00003643635,0.00004453358,0.000304396],"genre_scores_gemma":[0.9990155,0.00005945503,0.00008754465,0.0006329078,0.00001714376,0.00009390437,0.00004130245,0.00001825124,0.00003397668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7573236,"threshold_uncertainty_score":0.9914727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934071517870544,"score_gpt":0.2693425683257729,"score_spread":0.2500018531470674,"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."}}