{"id":"W4391602082","doi":"10.1111/eva.13646","title":"Size‐dependence of food intake and mortality interact with temperature and seasonality to drive diversity in fish life histories","year":2024,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; Research England; Natural Environment Research Council; Canada Research Chairs; National Science Foundation","keywords":"Biology; Seasonality; Fish <Actinopterygii>; Ecology; Diversity (politics); Fishery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009954884,0.00006937206,0.00008644905,0.00001726406,0.0002047193,0.000007510128,0.00007995314,0.00003155441,0.0001369359],"category_scores_gemma":[0.00003091733,0.00006400881,0.00001032271,0.0002201391,0.0002685554,0.0001880966,0.0004822313,0.0000909145,0.000007756954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001012469,"about_ca_system_score_gemma":0.00001139523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001518717,"about_ca_topic_score_gemma":0.006446798,"domain_scores_codex":[0.9994385,0.00002174398,0.00008920836,0.0002633975,0.0001033045,0.00008383942],"domain_scores_gemma":[0.9997122,0.00009781937,0.00002177547,0.0001098085,0.000008932714,0.00004944591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000150366,0.00005575451,0.981519,0.00003828585,0.00003406718,0.000001550376,0.0007623325,0.0000567909,0.00006130175,0.004760725,0.01261088,0.00008423657],"study_design_scores_gemma":[0.00006241883,0.00005224914,0.9915633,0.00001135586,0.00001988069,0.00000189789,0.0002546964,0.00004302409,0.000008928196,0.001912391,0.006001219,0.00006864988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939768,0.0001101811,0.000263939,0.003295574,0.00002485494,0.0003630636,0.00007950362,0.00002620709,0.001859857],"genre_scores_gemma":[0.998683,0.00004970162,0.0005246396,0.0003319882,0.00001123475,0.0001233163,0.000007110528,0.00000247948,0.000266573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01004425,"threshold_uncertainty_score":0.3597465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00952680702149159,"score_gpt":0.2243057194633826,"score_spread":0.214778912441891,"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."}}