{"id":"W6990361092","doi":"","title":"DIET OF A RECENTLY REINTRODUCED RIVER OTTER (<em>LONTRA CANADENSIS</em>) POPULATION IN TAOS COUNTY, NEW MEXICO","year":2020,"lang":"en","type":"article","venue":"UKnowledge (University of Kentucky)","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Otter; Crayfish; Predation; Cottidae; Population; Mustelidae; Grayling; Habitat","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":[0.0001102857,0.0001516839,0.0001044573,0.0004272309,0.0004826084,0.0002895532,0.0002084319,0.0001434961,0.0007843826],"category_scores_gemma":[0.0001715449,0.0001282265,0.0001233921,0.0003172353,0.0002396071,0.0001760356,0.0002031461,0.0001819662,0.0001222287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007421064,"about_ca_system_score_gemma":0.0002235357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1396044,"about_ca_topic_score_gemma":0.4089319,"domain_scores_codex":[0.9999495,0.000005301377,0.000004364813,0.00002061883,0.000008700224,0.00001148167],"domain_scores_gemma":[0.9998624,0.00001019201,0.00006956797,0.000007329264,0.00002121549,0.00002921025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005823369,0.00006063454,0.9958524,0.000007434978,0.00002665347,0.0001246236,0.0005933131,0.00002468108,0.001128845,0.000007233652,0.0002149373,0.001900928],"study_design_scores_gemma":[0.000001801485,0.00004735052,0.9990686,0.000002209763,0.000008691375,0.00006195717,0.0005678536,0.000033898,0.00004992468,0.000001167587,0.0001555194,0.000001107862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996322,0.00001564667,0.000006140172,0.000007238327,8.419881e-7,0.000003053971,0.0002233525,8.22984e-7,0.0001105601],"genre_scores_gemma":[0.9984257,0.00009081029,0.0001038719,0.00002471359,0.000002142552,0.0000117543,0.0007092271,8.268962e-7,0.0006309371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1396044,"threshold_uncertainty_score":0.2775837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174210765235162,"score_gpt":0.1855241862709113,"score_spread":0.1737820786185597,"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."}}