{"id":"W2151844297","doi":"10.1111/j.1600-0633.2009.00394.x","title":"Density‐dependent growth of young‐of‐the‐year Atlantic salmon (<i>Salmo salar</i>) revisited","year":2009,"lang":"en","type":"article","venue":"Ecology Of Freshwater Fish","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Concordia University; Algoma University","funders":"Institute of Materials Research and Engineering; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Salmo; Population density; Density dependence; Competition (biology); Ecology; Fish <Actinopterygii>; Growth rate; Predation; Population; Maximum density; Growth curve (statistics); Biology; Fishery; Animal science; Demography; Statistics; Mathematics; Physics; Thermodynamics; Geometry; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001002536,0.0002130559,0.0003588201,0.0004098498,0.0001464204,0.000364993,0.0007063326,0.0004616631,0.0009524825],"category_scores_gemma":[0.00189517,0.0002625666,0.0005974766,0.0004147035,0.0006339402,0.0005009047,0.0005307766,0.000698938,0.0002955483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005929006,"about_ca_system_score_gemma":0.0003121964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01392073,"about_ca_topic_score_gemma":0.0103172,"domain_scores_codex":[0.9997388,0.00005881051,0.00002368404,0.00008735273,0.0000617204,0.00002962575],"domain_scores_gemma":[0.9982985,0.000588264,0.0004046796,0.0001994177,0.0003931738,0.0001161098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005454785,0.00009592925,0.8318551,0.0003162682,0.0003223413,0.0007503227,0.0007542841,0.002755319,0.09752267,0.002357253,0.002167106,0.06055799],"study_design_scores_gemma":[0.00000448576,0.0001076197,0.9896562,0.00001997465,0.00005418866,0.0003044058,0.0002041707,0.00475591,0.003333709,0.0007102314,0.0008240714,0.00002495965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896711,0.004007953,0.001632942,0.001357586,0.00003770767,0.000007732615,0.0003132663,0.00002418336,0.002947533],"genre_scores_gemma":[0.998128,0.0008107307,0.0003456911,0.000203251,0.00002851101,0.000003820279,0.0001342508,0.00001271092,0.000332921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01392073,"threshold_uncertainty_score":0.02767938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005689422792262904,"score_gpt":0.1917727690678028,"score_spread":0.1860833462755399,"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."}}