{"id":"W2142705539","doi":"10.1007/s00285-011-0465-x","title":"Seasonal influences on population spread and persistence in streams: spreading speeds","year":2011,"lang":"en","type":"article","venue":"Journal of Mathematical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biological dispersal; Persistence (discontinuity); Settling; Population; STREAMS; Flow (mathematics); Upstream (networking); Diffusion; Statistical physics; Lag; Random walk; Mathematics; Environmental science; Ecology; Mechanics; Physics; Statistics; Geology; Computer science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001005994,0.0001165605,0.0005925829,0.0001245846,0.00002879306,0.000002746513,0.00007792936,0.0002164258,0.0006078398],"category_scores_gemma":[0.001735565,0.00006970653,0.00009601277,0.00006758126,0.0003434594,0.00005602118,0.00002857032,0.0003313724,0.00002757605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002253515,"about_ca_system_score_gemma":0.00001941201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004152331,"about_ca_topic_score_gemma":0.000001551243,"domain_scores_codex":[0.9988499,0.0001323306,0.000591108,0.0001324463,0.00007981532,0.0002143826],"domain_scores_gemma":[0.9985844,0.0009329866,0.0001826068,0.00009015077,0.0000495449,0.0001603346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005051258,0.0004235762,0.1482977,0.0001280067,0.00006558489,0.00006114119,0.0004035321,0.000001702314,0.0002747728,0.846747,0.00001266007,0.003079272],"study_design_scores_gemma":[0.000687041,0.001563816,0.1573814,0.0004065605,0.0000863398,0.0006885545,0.0001636043,0.002220637,0.0001963773,0.8365073,0.000008998572,0.00008934579],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870998,0.00008631099,0.001767511,0.0007826388,0.00004941505,0.00008738162,0.000001071906,0.000006572473,0.01011933],"genre_scores_gemma":[0.9934724,0.00003882625,0.005963605,0.0004351873,0.00005094292,0.000002053489,9.018739e-7,0.000004739651,0.00003135988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01023969,"threshold_uncertainty_score":0.6655419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07630465521279176,"score_gpt":0.3193335717293265,"score_spread":0.2430289165165347,"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."}}