{"id":"W2558922123","doi":"10.1139/cjfas-2016-0357","title":"Development and evaluation of a habitat suitability model for young lake sturgeon (<i>Acipenser fulvescens</i>) in the North Channel of the St. Clair River, Michigan","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; Michigan Department of Natural Resources; National Fish and Wildlife Foundation","keywords":"Lake sturgeon; Acipenser; Habitat; Fishery; Benthic zone; Sturgeon; Environmental science; Ichthyoplankton; Nursery habitat; Ecology; Channel (broadcasting); Juvenile; Geography; Hydrology (agriculture); Abundance (ecology); Biology; Fish <Actinopterygii>; Geology","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":[0.0005886001,0.0004719819,0.0003491614,0.0005699329,0.000420472,0.0006640833,0.0006739358,0.0005199963,0.0009060838],"category_scores_gemma":[0.001062339,0.0004088429,0.0005417973,0.0002304443,0.0001941739,0.0003151823,0.0003986721,0.0002369055,0.0001290667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038921,"about_ca_system_score_gemma":0.001382034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07345272,"about_ca_topic_score_gemma":0.06046225,"domain_scores_codex":[0.9998797,0.00004982774,0.00000820348,0.00002826917,0.00001360887,0.00002034058],"domain_scores_gemma":[0.9996433,0.0002065182,0.00004413647,0.000008914907,0.00006510958,0.00003203402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003509498,0.00005250064,0.02294405,0.00001052753,0.00005258913,0.00004520054,0.0000288801,0.9710009,0.0004381569,0.0003228075,0.0003062129,0.004763064],"study_design_scores_gemma":[0.000004509525,0.00001219468,0.001314171,0.000001536866,0.000005353145,0.000004306495,0.00001015478,0.9984865,0.00004057067,0.00005740642,0.00006129641,0.000001916467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339772,0.0001282041,0.0618691,0.0002385294,0.00001243475,0.00009878771,0.000685006,0.0003751745,0.002615433],"genre_scores_gemma":[0.9875445,0.00004530077,0.01098314,0.00002655006,0.000008897041,0.0001141676,0.0004376186,0.0000250282,0.0008146037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07345272,"threshold_uncertainty_score":0.1460503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03125787577464054,"score_gpt":0.2248538074007393,"score_spread":0.1935959316260988,"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."}}