{"id":"W4206470389","doi":"10.1139/cjfas-2021-0055","title":"Does recruitment trigger negative density-dependent feedback loops in stream-dwelling salmonids?","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intraspecific competition; Salmo; Density dependence; Biology; Competition (biology); Ecology; Fecundity; Abundance (ecology); Population; Population density; Thinning; Demography; Fishery; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005105345,0.00014542,0.0002274522,0.000196523,0.00017953,0.0003735246,0.0002809062,0.0002746143,0.0009577018],"category_scores_gemma":[0.002321629,0.0001358103,0.0002172091,0.00008753755,0.0003914598,0.0003138366,0.0004176658,0.0001625295,0.0001652091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004153817,"about_ca_system_score_gemma":0.0002806024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002295772,"about_ca_topic_score_gemma":0.004174352,"domain_scores_codex":[0.9998623,0.00004427794,0.00001067964,0.00003454416,0.00001506804,0.00003310353],"domain_scores_gemma":[0.9992008,0.0003050735,0.0002670796,0.00004169723,0.00008783201,0.00009765624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001016493,0.0002269546,0.8898324,0.0001385476,0.0001237614,0.0004104932,0.000638084,0.007695934,0.06842357,0.001864918,0.0003452532,0.02928366],"study_design_scores_gemma":[0.00005177014,0.0006210412,0.9573242,0.00002280715,0.00006451082,0.0001543507,0.0005493003,0.033887,0.003964714,0.002814517,0.0005229721,0.0000227452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988543,0.0000745558,0.0005954939,0.00006719695,0.000004422818,0.000004013434,0.00002306077,0.000009789204,0.0003671854],"genre_scores_gemma":[0.9997154,0.00002086388,0.0001165912,0.00001662646,0.000002769956,0.000002865097,0.00001305404,0.000001032665,0.0001108022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002295772,"threshold_uncertainty_score":0.004564881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02670896481418495,"score_gpt":0.2277313985923037,"score_spread":0.2010224337781187,"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."}}