{"id":"W4323042471","doi":"10.1002/lob.10557","title":"SystemLink: Moving beyond Aquatic–Terrestrial Interactions to Incorporate Food Web Studies","year":2023,"lang":"en","type":"article","venue":"Limnology and Oceanography Bulletin","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft; York University","keywords":"Food web; Environmental science; Oceanography; Environmental resource management; Ecology; Biology; Geology; Ecosystem","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004696717,0.0001889193,0.0003408736,0.0003818775,0.0003466044,0.0000272586,0.0002367927,0.000120372,0.0004182325],"category_scores_gemma":[0.0002248278,0.000173125,0.00010512,0.0009666443,0.000391498,0.00006365545,0.0005151028,0.0002227768,0.002268485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003751956,"about_ca_system_score_gemma":0.000007063709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001941445,"about_ca_topic_score_gemma":0.0008817312,"domain_scores_codex":[0.9984037,0.0002188008,0.0003655912,0.0004641082,0.0001334526,0.0004143105],"domain_scores_gemma":[0.9991023,0.000380631,0.0001324183,0.000274195,0.000009382111,0.0001010711],"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":[0.0001744788,0.0001494919,0.7986705,0.00003716011,0.0008784463,0.0001153827,0.003157017,0.001049957,0.001914806,0.0009639366,0.1897859,0.003102846],"study_design_scores_gemma":[0.003265741,0.003034187,0.2488631,0.0001615803,0.0006585235,0.0001569739,0.01505715,0.003065985,0.001044855,0.01137253,0.7116086,0.001710777],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895069,0.0001554597,0.00004791429,0.006591379,0.001077678,0.0002655206,0.000009225029,0.0001633581,0.002182576],"genre_scores_gemma":[0.9969906,0.0001971558,0.0007305241,0.001091335,0.0001420032,0.0000681926,0.000009098709,0.00001564794,0.0007554532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5498075,"threshold_uncertainty_score":0.9985083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02046340455599729,"score_gpt":0.2580964714616161,"score_spread":0.2376330669056188,"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."}}