{"id":"W2731616222","doi":"10.1002/ece3.3108","title":"Life history constraints explain negative relationship between fish productivity and dissolved organic carbon in lakes","year":2017,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University; Michigan Department of Natural Resources; University of Notre Dame","keywords":"Fecundity; Dissolved organic carbon; Productivity; Biology; Ecology; Population; Environmental gradient; Environmental science; Demography; Habitat","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":[0.0003645468,0.00007606397,0.000129046,0.00003142438,0.0004396767,0.000005703065,0.00006401041,0.0001012912,0.0001375415],"category_scores_gemma":[0.00162807,0.00007929275,0.000007652317,0.00002442311,0.001200607,0.000228425,0.0001798037,0.000136615,0.00001195249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000231047,"about_ca_system_score_gemma":0.00001522218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001393498,"about_ca_topic_score_gemma":0.03633661,"domain_scores_codex":[0.9993526,0.0001015251,0.0001022736,0.0002498735,0.000037583,0.0001561254],"domain_scores_gemma":[0.9995556,0.0001779103,0.00009599271,0.000121622,0.000003518119,0.00004536862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001179973,0.00002291565,0.9960433,0.000006306817,0.000009751296,0.000002052298,0.0005088801,0.000002156194,0.00003722867,0.0003020997,0.00300759,0.00004598217],"study_design_scores_gemma":[0.0003466984,0.00004725222,0.9954643,0.000003693428,0.00001828789,9.66743e-7,0.0001492458,0.00004099665,0.000005103282,0.00368592,0.0001558626,0.00008164047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884638,0.00002231956,0.00001332618,0.004512102,0.0001640963,0.0001963489,0.000002005901,0.00001530029,0.006610745],"genre_scores_gemma":[0.9992631,0.00001253816,0.00002952402,0.0001039021,0.00002901275,0.00002506118,0.00000261165,0.000003081123,0.0005311713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03619726,"threshold_uncertainty_score":0.9812477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02291638678812308,"score_gpt":0.2204575112799551,"score_spread":0.197541124491832,"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."}}