{"id":"W5324559","doi":"10.33915/etd.240","title":"Identification and Genetic Diversity of Lake Sturgeon Larvae on Artificial Reefs in the Huron-Erie Corridor","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"U.S. Geological Survey; Michigan Sea Grant, University of Michigan; U.S. Fish and Wildlife Service","keywords":"Endangered species; Fishery; Threatened species; Overexploitation; Reef; Habitat; Population; Acipenser; Geography; Ecology; Lake sturgeon; Habitat destruction; Biology; Sturgeon; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002204823,0.0001937751,0.0001588183,0.00118017,0.0003919085,0.0002793515,0.000186942,0.0002127017,0.0005288135],"category_scores_gemma":[0.0003948183,0.0001346074,0.0001672791,0.0005863441,0.0003577755,0.0001540173,0.0002661833,0.0001615236,0.0001223282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004258204,"about_ca_system_score_gemma":0.0002310061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02404803,"about_ca_topic_score_gemma":0.08966084,"domain_scores_codex":[0.999815,0.00002804685,0.00001845373,0.00004444367,0.00005593961,0.00003817134],"domain_scores_gemma":[0.9996672,0.00003199952,0.0001124352,0.00001304191,0.00009851809,0.0000768992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006188246,0.00004377256,0.9893469,0.000006183865,0.00001442775,0.0001673268,0.0008456188,0.00003058109,0.007873379,0.00001331167,0.00004552833,0.001551063],"study_design_scores_gemma":[0.000001422285,0.00008012922,0.998933,0.00000254585,0.000005239022,0.00008060833,0.0005621919,0.00005869299,0.0001906745,0.000002834757,0.00008062002,0.000002006622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998209,0.00001203909,0.00001428685,0.000004533804,5.956683e-7,0.000003018198,0.00003748226,7.325979e-7,0.0001064743],"genre_scores_gemma":[0.9992598,0.00002697631,0.0001292487,0.00001862061,0.000001177625,0.000008675439,0.0002039127,0.000001161388,0.0003504122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02404803,"threshold_uncertainty_score":0.0478161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096201005428423,"score_gpt":0.2190785841072506,"score_spread":0.2081165740529664,"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."}}