{"id":"W2089566454","doi":"10.1007/s004420050003","title":"Density dependence at some time and place?","year":2000,"lang":"en","type":"article","venue":"Oecologia","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Density dependence; Biology; Population density; Population; Ecology; Per capita; Population size; Population growth; Disturbance (geology); Econometrics; Statistics; Demography; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008986275,0.0001739485,0.0004984786,0.0006308802,0.0006755395,0.001769514,0.0009289167,0.001139152,0.01220764],"category_scores_gemma":[0.005771424,0.0003434691,0.0003695794,0.0007846346,0.002752319,0.005481073,0.001257939,0.001283317,0.001145633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009322007,"about_ca_system_score_gemma":0.0003738904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01711479,"about_ca_topic_score_gemma":0.0215332,"domain_scores_codex":[0.9997734,0.00004256888,0.0000103587,0.00008292609,0.00002929016,0.00006141991],"domain_scores_gemma":[0.9979064,0.0005497321,0.0004251057,0.0003345142,0.000368633,0.0004155549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004284784,0.0002702958,0.3197952,0.0002486877,0.0003196867,0.001092148,0.008375553,0.003625109,0.007807318,0.4554082,0.01828807,0.1843412],"study_design_scores_gemma":[0.00002692412,0.00009317892,0.6827865,0.0002112074,0.0001838353,0.001988912,0.01232932,0.007012108,0.001488832,0.2526945,0.04103384,0.0001509227],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8485923,0.004286283,0.01896339,0.01990402,0.0003867091,0.00002106611,0.0008929109,0.0001274654,0.1068259],"genre_scores_gemma":[0.9904861,0.0006650413,0.0007570944,0.000825486,0.0001141389,0.000007932994,0.0001365483,0.00003486243,0.006972865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01711479,"threshold_uncertainty_score":0.04083866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007041520293563119,"score_gpt":0.2118285777249007,"score_spread":0.2047870574313375,"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."}}