{"id":"W4413968121","doi":"10.22541/au.175692123.35129630/v1","title":"Global Change Asymmetrically Rewires Ecosystems","year":2025,"lang":"en","type":"article","venue":"","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Fisheries and Oceans Canada; University of Guelph","funders":"","keywords":"Ecosystem; Environmental science; Ecology; Biology","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":[0.0007672833,0.0003388252,0.0004335743,0.00105264,0.0005613987,0.001663989,0.0005517524,0.000909597,0.001817231],"category_scores_gemma":[0.00208845,0.0002237562,0.0006132004,0.0007324538,0.003022212,0.004109787,0.002142363,0.0007711246,0.0002345894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000857102,"about_ca_system_score_gemma":0.000330393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001328165,"about_ca_topic_score_gemma":0.00230125,"domain_scores_codex":[0.9995754,0.0001344645,0.00002944561,0.0001099856,0.00008572615,0.00006496722],"domain_scores_gemma":[0.9989482,0.0003581017,0.0002298864,0.0002989871,0.00009453935,0.00007037397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001921127,0.00006345253,0.03480351,0.002018596,0.0007900316,0.002074625,0.004924037,0.06237508,0.04252708,0.5315941,0.005104583,0.3135328],"study_design_scores_gemma":[0.00001275869,0.0001409468,0.06622735,0.0005570626,0.0002631212,0.001020664,0.003511767,0.02199059,0.005693473,0.7923308,0.1081412,0.0001103569],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7771555,0.01741263,0.1176897,0.01233687,0.0004742064,0.00007236219,0.0008067341,0.0006535731,0.07339847],"genre_scores_gemma":[0.9868875,0.006628619,0.004443536,0.0007944021,0.00005613566,0.0000163602,0.0001032292,0.000040991,0.001029219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001817231,"threshold_uncertainty_score":0.006218731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007579605930476224,"score_gpt":0.2381284174992307,"score_spread":0.2305488115687545,"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."}}