{"id":"W4200111894","doi":"10.1111/oik.08569","title":"Why body size matters: how larger fish ontogeny shapes ecological network topology","year":2021,"lang":"en","type":"article","venue":"Oikos","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Piscivore; Ontogeny; Topology (electrical circuits); Biology; Network structure; Juvenile; Ecology; Stage (stratigraphy); Ecological network; Pairwise comparison; Computer science; Mathematics; Artificial intelligence; Machine learning; Ecosystem; Predation","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":[0.00088706,0.0002483525,0.0002492777,0.0006258549,0.0003512015,0.0009015563,0.0003105096,0.0004226541,0.003244844],"category_scores_gemma":[0.006097868,0.0002689186,0.0005809928,0.0003511538,0.0007867129,0.001520955,0.0006942658,0.0005032319,0.0002675346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005701793,"about_ca_system_score_gemma":0.0004386482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004361921,"about_ca_topic_score_gemma":0.00883992,"domain_scores_codex":[0.9996951,0.000122386,0.00001235636,0.0001088172,0.00002535393,0.00003592314],"domain_scores_gemma":[0.9974365,0.001354544,0.0005325282,0.0002679679,0.0001483165,0.0002602619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004129899,0.00006283429,0.7858027,0.0002383071,0.0004103645,0.0005172704,0.002128906,0.06485961,0.07326488,0.02564314,0.001146277,0.04551265],"study_design_scores_gemma":[0.00001430643,0.0001174553,0.9203656,0.00003561771,0.0001069805,0.000231878,0.0004878166,0.05915262,0.0026559,0.01491783,0.001869021,0.00004507536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840854,0.0001655198,0.01256848,0.0002623576,0.0000115306,0.00001174345,0.0003876493,0.00005802389,0.00244924],"genre_scores_gemma":[0.99577,0.000114412,0.003251208,0.00003368985,0.000006593526,0.00001500091,0.0001930923,0.00003140761,0.0005843873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004361921,"threshold_uncertainty_score":0.01085508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009476982199055762,"score_gpt":0.2132071450084613,"score_spread":0.2037301628094055,"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."}}