{"id":"W4286714426","doi":"10.5325/naturesopolirese.9.1.0001","title":"Restoring Fish and Wildlife Habitat in U.S. Great Lakes Areas of Concern","year":2019,"lang":"en","type":"article","venue":"Journal of Natural Resources Policy Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Wildlife; Habitat; Restoration ecology; Recreation; Environmental restoration; Fish <Actinopterygii>; Geography; Tourism; Environmental protection; Fishery; Fish habitat; Remedial action; Environmental planning; Environmental science; Environmental resource management; Environmental remediation; Ecology; Contamination","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":[0.0004775028,0.0001356159,0.00007526795,0.0005034375,0.001392751,0.0008165089,0.0004702841,0.0004511852,0.004128916],"category_scores_gemma":[0.001216259,0.0001122752,0.0001108014,0.0004556672,0.0007900876,0.0006050948,0.001695635,0.0005484369,0.00030261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002717924,"about_ca_system_score_gemma":0.005966994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2096563,"about_ca_topic_score_gemma":0.5855758,"domain_scores_codex":[0.9997074,0.00006787459,0.00001187951,0.00002733991,0.00008313116,0.0001022455],"domain_scores_gemma":[0.9991703,0.00006920772,0.000141659,0.00002705157,0.0001895499,0.0004023861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009988466,0.0005106279,0.6863186,0.0004031222,0.00008429311,0.002797217,0.01237436,0.00190891,0.005624125,0.006372619,0.1315734,0.1519328],"study_design_scores_gemma":[0.00002037463,0.000186965,0.8751167,0.0001962107,0.00002236828,0.0003676547,0.0204445,0.0011319,0.0007951884,0.001314343,0.1003806,0.00002329587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485454,0.0009264215,0.0002590075,0.0161492,0.00007930912,0.00009643927,0.0006656214,0.00006711538,0.03321155],"genre_scores_gemma":[0.9844854,0.001122473,0.001058217,0.00329255,0.00004509954,0.00008945632,0.0005096156,0.000008896554,0.00938831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2096563,"threshold_uncertainty_score":0.416872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03734483519270856,"score_gpt":0.3375471594067925,"score_spread":0.3002023242140839,"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."}}