{"id":"W4327779716","doi":"10.1093/conphys/coad004","title":"Freshwater protected areas can preserve high-performance phenotypes in populations of a popular sportfish","year":2023,"lang":"en","type":"article","venue":"Conservation Physiology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University; Queen's University","funders":"Queen's University; Ontario Ministry of Natural Resources and Forestry; Ministry of Natural Resources","keywords":"Biology; Fishing; Micropterus; Recreation; Fishery; Fisheries management; Catch per unit effort; Selection (genetic algorithm); Freshwater fish; Recreational fishing; Ecology; Catch and release; Bass (fish); Fish <Actinopterygii>","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":[0.0001320786,0.0001299996,0.0001043334,0.0003998423,0.0003295417,0.00033123,0.0001625494,0.0001395287,0.002374122],"category_scores_gemma":[0.0004038742,0.00007910718,0.0001178056,0.000263166,0.0003585918,0.0002738297,0.0005827172,0.0001398295,0.0001192392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002179588,"about_ca_system_score_gemma":0.0001544008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004431202,"about_ca_topic_score_gemma":0.02303102,"domain_scores_codex":[0.999917,0.00001338299,0.000006313024,0.00002621679,0.00001270613,0.00002426998],"domain_scores_gemma":[0.9996414,0.0000252935,0.0001915171,0.00002271117,0.00002458664,0.00009448289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002148059,0.0001119524,0.9578823,0.00003246624,0.00005893888,0.0002162383,0.0005518548,0.0001163462,0.03216717,0.0001405483,0.0001574318,0.008349921],"study_design_scores_gemma":[0.000001018681,0.00004892933,0.999332,0.000002774868,0.000003590562,0.00004201556,0.0002753529,0.00003728465,0.0001536348,0.00003063628,0.00007174225,0.000001060315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997196,0.00001044986,0.00002918497,0.000007647601,4.394595e-7,0.000001231844,0.00002610278,0.000001425521,0.0002039032],"genre_scores_gemma":[0.999804,0.000007612096,0.00004537687,0.000006443695,5.972344e-7,0.00000193019,0.00002890942,5.21442e-7,0.0001045997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004431202,"threshold_uncertainty_score":0.008810818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193063493253261,"score_gpt":0.2268264473642541,"score_spread":0.2048958124317214,"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."}}