{"id":"W4321349339","doi":"10.1111/ele.14181","title":"Experimental evidence of size‐selective harvest and environmental stochasticity effects on population demography, fluctuations and non‐linearity","year":2023,"lang":"en","type":"letter","venue":"Ecology Letters","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Population; Density dependence; Population size; Biology; Ecology; Population cycle; Population model; Abundance (ecology); Daphnia; Predation; Demography","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":[0.001072035,0.0001124071,0.0001141293,0.0001201901,0.0002553224,0.0002587447,0.0002208484,0.000870098,0.003838598],"category_scores_gemma":[0.007163749,0.00008440884,0.00008266277,0.0001307346,0.0008033208,0.0003081218,0.0002483447,0.0007395388,0.0008100681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004432248,"about_ca_system_score_gemma":0.000132796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000537992,"about_ca_topic_score_gemma":0.0008864065,"domain_scores_codex":[0.9994276,0.0002653787,0.00004116156,0.0001048364,0.0001188771,0.00004210414],"domain_scores_gemma":[0.9879913,0.00941992,0.0006746571,0.001038446,0.0006711922,0.0002044763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004922969,0.001031905,0.1236905,0.0006898714,0.0001485206,0.008545273,0.0009235383,0.006635726,0.3098386,0.01912218,0.1150467,0.4094042],"study_design_scores_gemma":[0.0005668624,0.002811714,0.422955,0.0002943677,0.0001288676,0.01588065,0.001215497,0.03942155,0.271057,0.07193563,0.173451,0.0002818671],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8603961,0.001535533,0.01174275,0.07541017,0.001592622,0.00004862123,0.0004745738,0.0002882395,0.04851146],"genre_scores_gemma":[0.983094,0.000635944,0.001306877,0.01041791,0.0006553324,0.00003616862,0.00008245151,0.00002478119,0.003746599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003838598,"threshold_uncertainty_score":0.0128414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005743865529522449,"score_gpt":0.2211957790289338,"score_spread":0.2154519134994113,"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."}}