{"id":"W2153350068","doi":"10.1111/rec.12159","title":"A scientific basis for restoring fish spawning habitat in the St. Clair and Detroit Rivers of the Laurentian Great Lakes","year":2014,"lang":"en","type":"article","venue":"Restoration Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"U.S. Geological Survey; Environmental Protection Agency","keywords":"Habitat; Fishery; Restoration ecology; Dam removal; Fish migration; Habitat destruction; Adaptive management; Geography; Fish <Actinopterygii>; Fish habitat; Ecology; Environmental resource management; Environmental science; Biology","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":[0.007808264,0.0005817436,0.0002304656,0.002363299,0.003990906,0.003464293,0.002338368,0.001363701,0.002025295],"category_scores_gemma":[0.008777968,0.0003370503,0.000476898,0.001068396,0.006783835,0.001304237,0.002477425,0.001463564,0.000145247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009458316,"about_ca_system_score_gemma":0.0187954,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05218477,"about_ca_topic_score_gemma":0.1517823,"domain_scores_codex":[0.9972702,0.0008692733,0.0002221399,0.0003396833,0.001069815,0.0002288476],"domain_scores_gemma":[0.9967414,0.000867472,0.0008230867,0.0002153947,0.0008383262,0.0005144555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002272464,0.001172286,0.2704419,0.001211213,0.0001896882,0.001263096,0.01164643,0.03748004,0.02721957,0.05372866,0.02176623,0.5736536],"study_design_scores_gemma":[0.0002164406,0.001166756,0.6406174,0.002479092,0.0002913902,0.0005981192,0.03889699,0.05532388,0.02096624,0.05458982,0.1845434,0.0003105592],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6868864,0.007616971,0.0467236,0.1729156,0.0009430115,0.0008130989,0.0004660643,0.0005252776,0.08311003],"genre_scores_gemma":[0.8951553,0.002991403,0.09110451,0.004067294,0.000375127,0.0004449351,0.0002870888,0.00005224248,0.005522122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9478152,"threshold_uncertainty_score":0.103762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260405538146322,"score_gpt":0.2183881338085079,"score_spread":0.2057840784270447,"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."}}