{"id":"W2291967110","doi":"10.1371/journal.pone.0125234","title":"Benefits of Turbid River Plume Habitat for Lake Erie Yellow Perch (Perca flavescens) Recruitment Determined by Juvenile to Larval Genotype Assignment","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; University of Windsor; Ministry of Natural Resources; Great Lakes Fishery Commission","keywords":"Perch; Juvenile; Juvenile fish; Biology; Plume; Population; Fishery; Larva; Habitat; Ecology; Geography; 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":[0.0003619889,0.0001027435,0.000106452,0.0002926189,0.0002322582,0.0002738874,0.0001539513,0.0001271083,0.0005098609],"category_scores_gemma":[0.001140196,0.00012556,0.0001032382,0.0001428432,0.0002605451,0.0001722776,0.000450793,0.0001589986,0.0000529069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003375376,"about_ca_system_score_gemma":0.0002102943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008652039,"about_ca_topic_score_gemma":0.05922065,"domain_scores_codex":[0.9998524,0.0000505582,0.00001240473,0.00003812183,0.00002167351,0.00002476463],"domain_scores_gemma":[0.9994223,0.0001247333,0.0002529029,0.00002787071,0.00006984148,0.0001023958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002237317,0.00002705206,0.9479253,0.0000131108,0.000028488,0.00007303987,0.0005623816,0.0001912562,0.04626549,0.000048785,0.00006225455,0.004579028],"study_design_scores_gemma":[9.158558e-7,0.00003124488,0.9992996,9.653958e-7,0.000004127773,0.00001720898,0.0001594648,0.0001505103,0.0002961479,0.000005944923,0.00003225035,0.000001500904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998553,0.00000829557,0.00003225216,0.00000475053,2.045549e-7,6.706118e-7,0.00001449633,9.174914e-7,0.0000831142],"genre_scores_gemma":[0.9996824,0.000008796302,0.000145055,0.00001099081,4.667309e-7,0.000002286945,0.0000434254,0.00000108126,0.0001055016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008652039,"threshold_uncertainty_score":0.01720333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08426539272854786,"score_gpt":0.24825448441524,"score_spread":0.1639890916866922,"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."}}