{"id":"W4403290057","doi":"10.1016/j.indic.2024.100500","title":"Loop analysis quantifying important species in a marine food web","year":2024,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"HORIZON EUROPE Framework Programme; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Food web; Environmental science; Ecology; Biology; Oceanography; Fishery; Geology; Ecosystem","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007977702,0.0002312679,0.000367404,0.000500955,0.0001326343,0.00006180472,0.0002117605,0.0001153769,0.008666774],"category_scores_gemma":[0.00006065175,0.0002070538,0.0001831064,0.001242251,0.0007420097,0.0002331571,0.0006587416,0.0002775847,0.00009700104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276864,"about_ca_system_score_gemma":0.00002896169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001897028,"about_ca_topic_score_gemma":0.002394626,"domain_scores_codex":[0.9977875,0.0001369745,0.000544075,0.000729416,0.0003249442,0.0004770803],"domain_scores_gemma":[0.9993159,0.0001171073,0.00007572671,0.000353097,0.000001016732,0.0001371548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009809747,0.0001565076,0.9949505,0.00002905408,0.0001678623,0.00009785236,0.0007232699,0.0002238107,0.000250282,0.0003156135,0.00004099337,0.00303442],"study_design_scores_gemma":[0.0001431748,0.0001038535,0.9852669,0.000002179184,0.0002025693,0.000005796726,0.002955929,0.002501541,0.0001752549,0.001356285,0.007041308,0.0002451629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975098,0.0002218033,0.00003063115,0.0005597307,0.00004700254,0.0002910066,0.00002366614,0.00004430441,0.001272106],"genre_scores_gemma":[0.9985702,0.0001865635,0.00009204353,0.0000988255,0.0000167558,0.00004700178,0.0000312841,0.00001578487,0.0009415438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009683577,"threshold_uncertainty_score":0.9922394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006173286009575923,"score_gpt":0.2262847614838826,"score_spread":0.2201114754743067,"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."}}