{"id":"W3034306818","doi":"10.1002/wsb.1099","title":"A Large‐Scale Experiment to Evaluate Control of Invasive Muskrats","year":2020,"lang":"en","type":"article","venue":"Wildlife Society Bulletin","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Range (aeronautics); Catch per unit effort; Habitat; Control area; Geography; Population; Ecology; Environmental science; Fishery; Statistics; Control (management); Demography; Biology; Abundance (ecology); Mathematics; Computer science; Engineering","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":[0.002376743,0.0005003511,0.0004986853,0.0002401581,0.0004611315,0.0003656343,0.001009231,0.0007006564,0.002279547],"category_scores_gemma":[0.004621595,0.0003294076,0.0004427567,0.0001884236,0.0008122858,0.0005354354,0.0005552692,0.00072939,0.0002973325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005464166,"about_ca_system_score_gemma":0.0003912344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001477922,"about_ca_topic_score_gemma":0.002887646,"domain_scores_codex":[0.998116,0.0007062595,0.0001713128,0.000542167,0.000327293,0.0001369073],"domain_scores_gemma":[0.9936159,0.002909592,0.001337677,0.0009587416,0.0004584261,0.0007197728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.05073559,0.1589961,0.1166353,0.0007913681,0.0007946067,0.0003725664,0.002425475,0.00622026,0.6113068,0.0009002459,0.001031263,0.04979037],"study_design_scores_gemma":[0.00318182,0.4872567,0.4124178,0.00005401665,0.0004059893,0.0001560938,0.0006120377,0.012801,0.07905148,0.0005092985,0.0034207,0.0001330634],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989585,0.00001779068,0.000398425,0.00001810465,0.00001836545,0.0001994774,0.00005658434,0.00001046046,0.000322373],"genre_scores_gemma":[0.9948048,0.00002746051,0.00290994,0.00009794899,0.00002210309,0.001037258,0.0001886087,0.000009053925,0.0009029906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002376743,"threshold_uncertainty_score":0.01256961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305214308907149,"score_gpt":0.2315688056312696,"score_spread":0.2185166625421981,"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."}}