{"id":"W41126515","doi":"","title":"DOUBLE-CRESTED CORMORANT IMPACTS TO COMMERCIAL AND NATURAL RESOURCES","year":2003,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Fishery; Recreation; Geography; Natural resource; Population; Carrying capacity; Stakeholder; Cormorant; Habitat; Environmental resource management; Aquaculture; Wildlife management; Environmental planning; Environmental protection; Population growth; Natural resource economics; Fish <Actinopterygii>; Ecology; Economics; Predation; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004091236,0.0001975006,0.00006082964,0.0003977881,0.0009111953,0.0006788274,0.0001793786,0.0002339245,0.002719146],"category_scores_gemma":[0.001232963,0.00006470206,0.00008495479,0.0003136664,0.000735495,0.0004143541,0.000873905,0.0001689075,0.0001088153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00140947,"about_ca_system_score_gemma":0.001071875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09257085,"about_ca_topic_score_gemma":0.3836117,"domain_scores_codex":[0.9996892,0.0001115008,0.000009950905,0.000029119,0.00006230316,0.0000977946],"domain_scores_gemma":[0.9991611,0.0001551728,0.0002389727,0.00002407798,0.0002246625,0.0001960182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001344819,0.0001320308,0.9369836,0.00006157734,0.00002903381,0.0009965907,0.005745779,0.0005021463,0.003212933,0.0009790417,0.001541589,0.04968108],"study_design_scores_gemma":[0.000003634,0.0001917454,0.977265,0.00003428449,0.00001114592,0.0002800951,0.01637388,0.0002607526,0.0004594474,0.0003020511,0.004809484,0.000008572551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945561,0.0001273896,0.00003966436,0.0002332029,0.000003172539,0.000003071739,0.00003233509,0.00000214526,0.005002992],"genre_scores_gemma":[0.9990815,0.0001578538,0.00006194646,0.00003791293,0.00000338529,0.000002600304,0.00003229794,7.159865e-7,0.0006218734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09257085,"threshold_uncertainty_score":0.184064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008708905380723084,"score_gpt":0.1923267590826546,"score_spread":0.1836178537019316,"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."}}