{"id":"W4410545595","doi":"10.1051/kmae/2025010","title":"IsoFresh: A global stable isotope database of freshwater food webs","year":2025,"lang":"en","type":"article","venue":"Knowledge and Management of Aquatic Ecosystems","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Institut écologie et environnement; Centre National de la Recherche Scientifique; Fondation pour la Recherche sur la Biodiversite; UK Research and Innovation","keywords":"Stable isotope ratio; Environmental science; Database; Isotope; Chemistry; Environmental chemistry; Biology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00165915,0.001356147,0.001005977,0.01203693,0.0005328744,0.001071873,0.001685589,0.000886368,0.006080282],"category_scores_gemma":[0.004871456,0.0006020324,0.0008378368,0.00967955,0.0003070754,0.00238531,0.002058786,0.0005878057,0.003470143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000672498,"about_ca_system_score_gemma":0.001677731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01859506,"about_ca_topic_score_gemma":0.02335272,"domain_scores_codex":[0.9992394,0.00009724664,0.0001633496,0.0002156133,0.0002097747,0.00007458085],"domain_scores_gemma":[0.9976285,0.0003903428,0.0006618116,0.0005128951,0.0006000224,0.0002064937],"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":[0.001479918,0.0002613213,0.362785,0.005159436,0.001623545,0.001085432,0.001662573,0.01475436,0.02241521,0.008325598,0.2673954,0.3130522],"study_design_scores_gemma":[0.0001944354,0.0001501672,0.3992816,0.000564739,0.0002973589,0.000944875,0.0004630694,0.0108735,0.005827744,0.01047878,0.5706103,0.0003134375],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05000023,0.0008240268,0.01436666,0.0001056242,0.00002860911,0.0001268458,0.9233453,0.005841685,0.005360992],"genre_scores_gemma":[0.07105264,0.0004398558,0.03780967,0.0001267964,0.00002086969,0.0004082144,0.8886839,0.0005472237,0.0009107991],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01859506,"threshold_uncertainty_score":0.03697366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034420797063173,"score_gpt":0.2449154232968241,"score_spread":0.2345712153261924,"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."}}