{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001419357,0.00008754349,0.0002554009,0.0002903538,0.00009104604,0.00002197585,0.0003234221,0.00006379386,0.0001274161],"category_scores_gemma":[0.0008820491,0.00006647447,0.00004761892,0.0004841859,0.000481687,0.0002490743,0.0004723312,0.0005748592,0.00002157052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002145121,"about_ca_system_score_gemma":0.00002244536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004220952,"about_ca_topic_score_gemma":0.002959639,"domain_scores_codex":[0.9983487,0.0001884314,0.0003027473,0.0001486214,0.0006590982,0.0003524423],"domain_scores_gemma":[0.9991196,0.0004636844,0.0001541787,0.0001344982,0.00004585891,0.0000821448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000179026,0.00002733094,0.9574965,0.00003388964,0.00002582955,0.00002866266,0.0009586626,0.00007424374,0.0006077575,0.00009440834,0.03937998,0.001093749],"study_design_scores_gemma":[0.0005958388,0.0002806335,0.951606,0.00007718946,0.000004227247,0.00001884987,0.0005472709,0.00004205774,0.00007611381,0.0004871152,0.04620107,0.00006364856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765449,0.000240451,1.057881e-7,0.01147081,0.00006941376,0.000132214,0.000001351528,0.000002876633,0.01153787],"genre_scores_gemma":[0.9957404,0.0004359962,0.00003626767,0.0006125312,0.0001124114,0.000001703124,1.576386e-7,0.000006856019,0.003053701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01919547,"threshold_uncertainty_score":0.271075,"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."}}