{"id":"W3203658410","doi":"10.1139/cjfas-2021-0006","title":"Mixed stock analysis of genetic compositions of lake sturgeon (<i>Acipenser fulvescens</i>) mixtures in Lake Michigan: hierarchical spatial heterogeneity and evidence of improving recruitment in Wisconsin spawning populations","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lake sturgeon; Acipenser; Occupancy; Fishery; Habitat; Geography; Ecology; Bay; Population; Spatial heterogeneity; Sturgeon; Biology; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002876398,0.0001762408,0.0001152724,0.001160625,0.0003546998,0.0002741121,0.000165642,0.000111974,0.0007034118],"category_scores_gemma":[0.000541,0.000101522,0.0001844114,0.0005778361,0.0001484745,0.000189171,0.000296072,0.00009246291,0.00009261814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003828485,"about_ca_system_score_gemma":0.0001817789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03402655,"about_ca_topic_score_gemma":0.1212522,"domain_scores_codex":[0.9998926,0.00002148715,0.0000136768,0.000034441,0.00002261075,0.00001514439],"domain_scores_gemma":[0.9997112,0.00003693393,0.0001104076,0.00002352859,0.00006778746,0.00005011536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000621605,0.00001102578,0.9904598,0.00000417992,0.00004587639,0.0000206107,0.0001859522,0.000137218,0.006047385,0.00002371542,0.00003156477,0.002970549],"study_design_scores_gemma":[0.000001558357,0.00002848934,0.9985487,0.000001578139,0.00001875704,0.00002763779,0.000136955,0.0007479492,0.0004159783,0.00001154429,0.00005896422,0.000001879854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997248,0.00001123214,0.0001194967,0.000002562191,2.697405e-7,0.000001682285,0.00007024938,0.000001792504,0.00006797449],"genre_scores_gemma":[0.9993411,0.000008946281,0.0003381381,0.000003465611,5.146654e-7,0.000005604668,0.0002089151,0.000001006748,0.00009232436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03402655,"threshold_uncertainty_score":0.06765699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06146053562078242,"score_gpt":0.2699138902080873,"score_spread":0.2084533545873049,"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."}}