{"id":"W4400030670","doi":"10.1002/ece3.11503","title":"Designing eco‐evolutionary experiments for restoration projects: Opportunities and constraints revealed during stickleback introductions","year":2024,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Brock University; McGill University","funders":"National Institute of General Medical Sciences; Directorate for Biological Sciences; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Stickleback; Gasterosteus; Ecology; Limnetic zone; Restoration ecology; Ecotype; Context (archaeology); Population; Biology; Evolutionary ecology; Trophic level; Fishery; Fish <Actinopterygii>; Littoral zone","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":[0.009105674,0.0004058909,0.0005154732,0.00037573,0.001511222,0.0009779106,0.001022058,0.0008949924,0.001780455],"category_scores_gemma":[0.009224254,0.000423748,0.0003871209,0.0003268138,0.001180213,0.001028012,0.00120003,0.001134837,0.0001897046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001443647,"about_ca_system_score_gemma":0.001017111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003385374,"about_ca_topic_score_gemma":0.02201867,"domain_scores_codex":[0.9953408,0.002898877,0.000315392,0.000661782,0.0004272947,0.0003558325],"domain_scores_gemma":[0.9903471,0.005006911,0.001801844,0.001065551,0.0008657848,0.0009126789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006303208,0.008353041,0.296031,0.001034634,0.0003362916,0.00133895,0.0107686,0.01055309,0.5761808,0.003537457,0.00104575,0.08451724],"study_design_scores_gemma":[0.0003812992,0.02453484,0.8225574,0.0002709965,0.0004539899,0.0003999514,0.012749,0.0115166,0.1068045,0.003961743,0.01609436,0.0002752849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942934,0.00005909516,0.003608434,0.00009471493,0.00001808464,0.0002731147,0.00007624724,0.00002803875,0.001548841],"genre_scores_gemma":[0.9783242,0.00009591471,0.01829256,0.0002642742,0.00001964291,0.001517487,0.0001792063,0.00003707694,0.001269631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009105674,"threshold_uncertainty_score":0.04815596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03111322335131834,"score_gpt":0.2506856782214709,"score_spread":0.2195724548701525,"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."}}