{"id":"W4377244694","doi":"10.1111/fme.12632","title":"In‐stream population structuring of Lake Sturgeon in Northern Manitoba, Canada","year":2023,"lang":"en","type":"article","venue":"Fisheries Management and Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Manitoba Hydro","keywords":"Stocking; Sturgeon; Lake sturgeon; Biological dispersal; Range (aeronautics); Bay; Geography; Fishery; Population; Ecology; Acipenser; Fish <Actinopterygii>; Biology; Archaeology; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005171283,0.0002856119,0.0003152634,0.001990823,0.001922603,0.0007106359,0.0008737169,0.0002095188,0.001727677],"category_scores_gemma":[0.000907733,0.0002040751,0.0002654484,0.002855532,0.0006047241,0.0001943395,0.0005235191,0.0002193366,0.0001427458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01542851,"about_ca_system_score_gemma":0.01571682,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9869322,"about_ca_topic_score_gemma":0.9967044,"domain_scores_codex":[0.9997681,0.00003234258,0.00001461157,0.00006323752,0.00005419788,0.00006751915],"domain_scores_gemma":[0.9990306,0.00006121808,0.0001010785,0.0000273625,0.0006125724,0.0001671093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007198647,0.00002533693,0.98725,0.00003605317,0.00009380474,0.0001220536,0.002098835,0.0004419029,0.00207197,0.0001671378,0.0009567764,0.006664045],"study_design_scores_gemma":[0.000004827898,0.000013997,0.9970964,0.00001852244,0.00002224846,0.00003346387,0.001619607,0.0004440029,0.0000904653,0.00003105435,0.0006186364,0.000006698616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976401,0.0002049439,0.0002131327,0.000107248,0.000004336746,0.00002988462,0.0007792498,0.00001534132,0.001005856],"genre_scores_gemma":[0.9976131,0.0001486549,0.0005001487,0.00005101896,0.000001608286,0.00002232406,0.0006513258,0.000006900696,0.00100486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01542851,"threshold_uncertainty_score":0.1119422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006945268602608695,"score_gpt":0.1749451828776103,"score_spread":0.1679999142750016,"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."}}