{"id":"W4400382167","doi":"10.1007/s00027-024-01097-4","title":"Ontogenetic variation in isotopic niche positions of aquatic consumers in boreal lakes","year":2024,"lang":"en","type":"article","venue":"Aquatic Sciences","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Natural Resources and Forestry; Yukon Department of Environment; Wilfrid Laurier University; Government of Northwest Territories; Fisheries and Oceans Canada; Environment and Climate Change Canada; Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Natural Resources and Forestry","keywords":"Niche; Ontogeny; Boreal; Ecology; Variation (astronomy); Biology; Taiga; Ecological niche; Geography; Habitat","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003140811,0.0001922233,0.0001488169,0.001027563,0.000553301,0.0006436399,0.0002738948,0.0003389618,0.001714455],"category_scores_gemma":[0.0006072807,0.000329041,0.0001891744,0.0004279226,0.0005796686,0.0004238506,0.0006160473,0.0003663317,0.0001670355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005503664,"about_ca_system_score_gemma":0.0004128187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00899265,"about_ca_topic_score_gemma":0.03206185,"domain_scores_codex":[0.9998522,0.00003449667,0.000007186991,0.00005049955,0.00002471672,0.00003095468],"domain_scores_gemma":[0.9993672,0.0001248067,0.0002277039,0.00003390286,0.00008008465,0.0001664072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001222539,0.0001808921,0.8867288,0.00003775816,0.0001126262,0.0002898943,0.002163312,0.0003309602,0.09637342,0.0009148005,0.0002186823,0.01142629],"study_design_scores_gemma":[0.000001270389,0.0000182803,0.9994209,0.000001146551,0.00000288525,0.00003123809,0.0001473838,0.00006782789,0.000189771,0.00003100271,0.00008606019,0.000002268217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993456,0.00005457058,0.00004412648,0.000012131,0.000001123316,0.000001576931,0.00006515901,0.000002149039,0.0004736426],"genre_scores_gemma":[0.9991356,0.00004650844,0.00007334382,0.000006706755,0.000001718265,0.000004722154,0.0000922036,0.000005572437,0.0006338034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00899265,"threshold_uncertainty_score":0.01788062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439395831390517,"score_gpt":0.2701711677784786,"score_spread":0.2557772094645734,"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."}}