{"id":"W2177632059","doi":"10.1007/s12080-015-0282-8","title":"Interaction strength revisited—clarifying the role of energy flux for food web stability","year":2015,"lang":"en","type":"article","venue":"Theoretical Ecology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Vetenskapsrådet","keywords":"Stability (learning theory); Metric (unit); Food web; Econometrics; Flux (metallurgy); Per capita; Range (aeronautics); Statistical physics; Computer science; Statistics; Mathematics; Ecology; Economics; Physics; Biology; Chemistry; Materials science; Machine learning; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.0004487999,0.0000985467,0.000148601,0.00002106552,0.00004499371,0.000006769505,0.0001748538,0.0001906289,0.000102347],"category_scores_gemma":[0.0005705843,0.00007410494,0.0000866173,0.00005252762,0.0004225646,0.000002002734,0.0001096388,0.00008567779,0.000003240995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002268482,"about_ca_system_score_gemma":0.0001097097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001528461,"about_ca_topic_score_gemma":0.0001136058,"domain_scores_codex":[0.9990972,0.0001902011,0.000230137,0.0002148039,0.00007066859,0.0001969998],"domain_scores_gemma":[0.9992521,0.0001097543,0.00007968064,0.0003000257,0.0001778596,0.00008058488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000394032,0.000146087,0.001727027,0.0000134918,0.00006806117,1.216401e-7,0.00006298297,0.0001091734,0.05796092,0.9359098,0.0007489105,0.002859375],"study_design_scores_gemma":[0.002602555,0.005851613,0.001230095,0.0000144875,0.0001581249,0.00003869553,0.001866567,0.06351015,0.2647691,0.4357374,0.2237391,0.0004821309],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691208,0.000510113,0.0147179,0.0006123151,0.0002548898,0.0002594532,0.0001273312,0.00001662678,0.01438054],"genre_scores_gemma":[0.9987348,0.00002951869,0.0006037126,0.0002626001,0.0001237222,0.00003101797,0.000139848,0.00001205156,0.00006269421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5001724,"threshold_uncertainty_score":0.3021912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048700623586725,"score_gpt":0.2540171817767269,"score_spread":0.2435301755408596,"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."}}