{"id":"W2132380992","doi":"10.1046/j.1467-2960.2001.00056.x","title":"Compensatory density dependence in fish populations: importance, controversy, understanding and prognosis","year":2001,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":695,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Density dependence; Population; Compensation (psychology); Offset (computer science); Population dynamics of fisheries; Population growth; Field (mathematics); Reproduction; Econometrics; Ecology; Biology; Fish <Actinopterygii>; Computer science; Fishery; Economics; Demography; Mathematics; Psychology","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":[0.008928468,0.0002591787,0.0005475515,0.001505497,0.0003795837,0.001270899,0.0009932271,0.00127041,0.001354709],"category_scores_gemma":[0.02840103,0.0001339843,0.0003245559,0.0008294751,0.003457614,0.002424775,0.001276552,0.001794212,0.0001650462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008662534,"about_ca_system_score_gemma":0.0006759192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001174891,"about_ca_topic_score_gemma":0.001042288,"domain_scores_codex":[0.9979917,0.001040635,0.0003045219,0.0001928523,0.0003815858,0.00008879867],"domain_scores_gemma":[0.9742429,0.01685618,0.003137376,0.001980093,0.003115848,0.0006676589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006039555,0.0001629401,0.4084414,0.001035065,0.0001443679,0.002246305,0.002258227,0.00918564,0.001943925,0.0691423,0.008503374,0.4963325],"study_design_scores_gemma":[0.00006933752,0.001004538,0.4501598,0.002811483,0.0002241735,0.01751564,0.00704347,0.0835502,0.005478039,0.3882003,0.04348886,0.0004540616],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6499408,0.115002,0.09886824,0.11318,0.001572737,0.0001428061,0.0006234007,0.0003037779,0.02036611],"genre_scores_gemma":[0.9819523,0.009816783,0.00514495,0.001285189,0.0007946052,0.00002147928,0.00009949379,0.00001295688,0.0008722941],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008928468,"threshold_uncertainty_score":0.0472188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04897646224482216,"score_gpt":0.2529650833701494,"score_spread":0.2039886211253272,"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."}}