{"id":"W2051796409","doi":"10.1007/s00442-006-0410-7","title":"Cascading life-history interactions: alternative density-dependent pathways drive recruitment dynamics in a freshwater fish","year":2006,"lang":"en","type":"article","venue":"Oecologia","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Selkirk College; University of Alberta","funders":"","keywords":"Biology; Minnow; Pimephales promelas; Density dependence; Cannibalism; Abundance (ecology); Life history theory; Offspring; Ecology; Zoology; Juvenile fish; Fish <Actinopterygii>; Life history; Juvenile; Predation; Fishery; Demography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002472343,0.0001582133,0.0001863037,0.00008493876,0.0001467103,0.00001266579,0.0001885049,0.00007684081,0.003264949],"category_scores_gemma":[0.00006522171,0.0001507023,0.00004509549,0.00007439663,0.0001672941,0.0002050918,0.000440854,0.0002233674,0.0005673937],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00398352,"about_ca_system_score_gemma":0.00001085935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001564164,"about_ca_topic_score_gemma":0.4334562,"domain_scores_codex":[0.9988077,0.00009608433,0.0002477073,0.0003795409,0.0001374094,0.0003315943],"domain_scores_gemma":[0.9995632,0.0001137484,0.0001171516,0.0001583025,0.000008374023,0.00003918137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003216212,0.0003559851,0.7405986,0.000007602793,0.00005007973,0.0002487279,0.0006107091,0.001747006,0.0001592193,0.001577606,0.2540955,0.0005167589],"study_design_scores_gemma":[0.0006667881,0.000138199,0.9462661,0.00001384801,0.00003234488,0.000007415127,0.0009685562,0.006418074,0.0002112749,0.002833778,0.0421134,0.0003301797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8946679,0.0000148609,0.0003124904,0.001064626,0.001125778,0.0006591552,0.00001458585,0.00007330093,0.1020673],"genre_scores_gemma":[0.9894619,0.00003566404,0.0006333691,0.002078248,0.00004858327,0.0002939506,0.00002752012,0.00001112943,0.007409631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4318921,"threshold_uncertainty_score":0.99984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004165124666636,"score_gpt":0.2352843980007536,"score_spread":0.2052427467540872,"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."}}