{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001316135,0.00006066867,0.00007115907,0.00000695471,0.0001338435,0.00001908867,0.0001246295,0.00005644338,0.2448144],"category_scores_gemma":[0.00002289835,0.00005176262,0.00001318042,0.00005135411,0.0001780078,0.0001329523,0.0003277218,0.00008365982,0.008659582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008837336,"about_ca_system_score_gemma":0.000004308619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001466947,"about_ca_topic_score_gemma":0.0003325806,"domain_scores_codex":[0.9993507,0.00002900169,0.00006101328,0.0001999992,0.0001431891,0.0002160797],"domain_scores_gemma":[0.9997283,0.00004637272,0.00001055897,0.0001330655,0.000001734407,0.00008000778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000538515,0.00004670805,0.8542941,0.000003388917,0.000005416216,0.00006229756,0.00006192747,0.0000424179,0.002527328,0.00001630366,0.02834602,0.1145403],"study_design_scores_gemma":[0.0002109845,0.0001198993,0.8623341,5.710899e-7,0.000003285559,0.00003312106,0.000004571951,0.001505556,0.0004448732,0.0002238722,0.1349733,0.0001458791],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7619424,0.000003273009,3.977851e-7,0.0001697425,0.000009731158,0.00006394563,0.000001270156,0.0000196433,0.2377895],"genre_scores_gemma":[0.7504848,0.0000874862,0.0002793439,0.0005000831,0.00002258757,0.000008782378,0.000004330316,0.000006364461,0.2486062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2361548,"threshold_uncertainty_score":0.9921123,"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."}}