{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003271711,0.0002591785,0.0003387354,0.0006509161,0.0004661215,0.0006588202,0.0003595774,0.0002946123,0.0007581349],"category_scores_gemma":[0.001273821,0.0003963473,0.000222591,0.0003737997,0.0004825626,0.0004110858,0.0008450389,0.0002318068,0.00007104352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007869176,"about_ca_system_score_gemma":0.0003207398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009711186,"about_ca_topic_score_gemma":0.02165222,"domain_scores_codex":[0.9998788,0.00002497016,0.00001393377,0.00003006693,0.00002232859,0.00002992895],"domain_scores_gemma":[0.9988087,0.0003422904,0.0005074253,0.00004382354,0.000139986,0.0001576244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001110466,0.00002457997,0.975373,0.00002962311,0.0000966281,0.0001379565,0.0002073857,0.001111056,0.02167944,0.0001554482,0.0001022726,0.0009714279],"study_design_scores_gemma":[0.00000419096,0.00002374067,0.9964787,0.000003026031,0.00001787049,0.00003265083,0.0001537431,0.002621613,0.0004683954,0.000135822,0.00005581694,0.000004426181],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996691,0.00004162573,0.00009197234,0.00001702164,3.620743e-7,0.000001252526,0.00005878005,0.000003236935,0.0001167194],"genre_scores_gemma":[0.9998168,0.00001310694,0.00007481385,0.000007277571,9.621966e-7,0.00000254539,0.00005541024,0.000001253557,0.00002777095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009711186,"threshold_uncertainty_score":0.01930928,"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."}}