{"id":"W3162563243","doi":"10.1111/eva.13253","title":"The interplay between hunting rate, hunting selectivity, and reproductive strategies shapes population dynamics of a large carnivore","year":2021,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Austrian Science Fund; Agence Nationale de la Recherche; Canada Research Chairs; Royal College of Nursing, Australia; Canada Excellence Research Chairs, Government of Canada; Biodiversa+; National Science Foundation","keywords":"Biology; Population; Carnivore; Ursus; Vital rates; Population growth; Offspring; Litter; Ecology; Population size; Reproductive success; Reproduction; Population model; Demography; Selection (genetic algorithm); Population decline; Reproductive value; Habitat; Predation","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":[0.000431359,0.0001216785,0.0001606306,0.0002849803,0.0002249221,0.0005729372,0.0002375662,0.0002645156,0.0007250185],"category_scores_gemma":[0.0009746733,0.0001919883,0.0002526235,0.0001490714,0.0004315266,0.0003285636,0.0003674342,0.0002052236,0.00007555307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002732341,"about_ca_system_score_gemma":0.0002061841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004879142,"about_ca_topic_score_gemma":0.007609779,"domain_scores_codex":[0.9998856,0.00003898256,0.000006229909,0.00004169299,0.000008498141,0.00001906832],"domain_scores_gemma":[0.9994191,0.0002146055,0.0002008546,0.0000562635,0.00004010791,0.00006906952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001127629,0.00007710228,0.9510553,0.00002418401,0.0002056739,0.0001294626,0.0002234213,0.02725388,0.01686343,0.0005919001,0.0001265774,0.003336385],"study_design_scores_gemma":[0.000006028876,0.0001127598,0.9538242,0.000006078247,0.0000464027,0.0001314155,0.0002439583,0.044601,0.0003442342,0.0005548688,0.0001186503,0.00001037673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999572,0.0000153913,0.0002630882,0.00001019371,3.752128e-7,9.70565e-7,0.00002216219,0.000001933382,0.0001139077],"genre_scores_gemma":[0.9997527,0.00001184932,0.0001514422,0.000004442884,8.465544e-7,0.000001495981,0.00002389753,8.640551e-7,0.00005248316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004879142,"threshold_uncertainty_score":0.00970149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006663659727104997,"score_gpt":0.2574630466555587,"score_spread":0.2507993869284538,"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."}}