{"id":"W2048646144","doi":"10.1016/j.jtbi.2011.05.032","title":"The effect of temporal variability on persistence conditions in rivers","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Mitacs; Ministry of Natural Resources","keywords":"Persistence (discontinuity); Advection; Environmental science; Exponential function; Hydroelectricity; Flow (mathematics); Population; Constant (computer programming); Ecology; Hydrology (agriculture); Mathematics; Geology; Computer science; Biology; Physics; Geotechnical engineering; Mathematical analysis","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":[0.004917424,0.0003309424,0.0006749865,0.001019547,0.0008146123,0.00241352,0.001050075,0.002214678,0.002246452],"category_scores_gemma":[0.04268362,0.0005065601,0.0008994516,0.0007786211,0.002479109,0.00288943,0.001497042,0.001416334,0.0001578817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008715205,"about_ca_system_score_gemma":0.0005327818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003294506,"about_ca_topic_score_gemma":0.002405217,"domain_scores_codex":[0.9987535,0.0005003234,0.00008294578,0.000310152,0.00008935921,0.0002636036],"domain_scores_gemma":[0.9413838,0.04609323,0.006657618,0.002826986,0.001319983,0.001718376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001817686,0.0003919848,0.7000356,0.0002069985,0.0009025577,0.001778491,0.001472226,0.1900338,0.01126067,0.06378458,0.001351151,0.02696429],"study_design_scores_gemma":[0.0001518527,0.0006429661,0.5104633,0.00005290098,0.0005320561,0.001307484,0.001525064,0.3559397,0.001533337,0.1270507,0.0006185111,0.0001821461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927649,0.0002032036,0.005594234,0.0004835362,0.00001257732,0.000003536233,0.0001002041,0.00002258007,0.0008153237],"genre_scores_gemma":[0.999605,0.00004923407,0.0001371155,0.00001698525,0.00001190696,0.000002335828,0.00002700901,0.000006673065,0.0001438191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004917424,"threshold_uncertainty_score":0.02600616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02698170478246378,"score_gpt":0.3033121935399405,"score_spread":0.2763304887574768,"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."}}