{"id":"W2144983563","doi":"10.1007/s10750-009-9798-5","title":"Influence of functional feeding groups and spatiotemporal variables on the δ15N signature of littoral macroinvertebrates","year":2009,"lang":"en","type":"article","venue":"Hydrobiologia","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail","keywords":"Littoral zone; Trophic level; Macrophyte; Ecology; Predator; Invertebrate; Food web; Predation; Eutrophication; Environmental science; Biology; Shore; Benthic zone; Abundance (ecology); Isotope analysis; δ15N; Nutrient; δ13C; Fishery; Stable isotope ratio","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003213146,0.0000964185,0.0001612843,0.00002818903,0.00006959633,0.000005546889,0.0001743001,0.0001028162,0.0003148483],"category_scores_gemma":[0.0001200066,0.00006083109,0.00003619252,0.0001810069,0.0003327797,0.00008717414,0.00008192221,0.000128783,0.00001832373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002963801,"about_ca_system_score_gemma":0.000006068797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007626788,"about_ca_topic_score_gemma":0.0000286612,"domain_scores_codex":[0.9992995,0.00007222067,0.0001988027,0.0001909222,0.00009706426,0.0001414724],"domain_scores_gemma":[0.9995058,0.0001582594,0.0001489797,0.0001544851,0.00001204275,0.0000204012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004500981,0.00008829316,0.4926554,0.000004327252,0.0000270207,0.000001684245,0.0001420758,0.03834897,0.4616925,0.005150628,0.001410376,0.0004337098],"study_design_scores_gemma":[0.0001615357,0.0003721192,0.95967,0.00001528486,0.00001915871,0.000005020362,0.0000539453,0.003915739,0.02921388,0.006372372,0.00008787058,0.0001130417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981923,0.00002647799,0.00004310525,0.0003263369,0.00002712725,0.00009239064,0.000004317234,0.00001033614,0.001277629],"genre_scores_gemma":[0.9991267,0.000009433469,0.0002489083,0.0005170353,0.00001608027,0.000002825818,0.000007297622,0.000002775563,0.00006890987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4670146,"threshold_uncertainty_score":0.3447368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007600811749384265,"score_gpt":0.1946938873725989,"score_spread":0.1870930756232146,"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."}}