{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002270513,0.0001615081,0.0003231425,0.0001029314,0.0001290683,0.000007078962,0.0003656226,0.0001817689,0.002268084],"category_scores_gemma":[0.0001245014,0.000206513,0.00009413467,0.0006026197,0.0001707965,0.0003988002,0.0002204802,0.0001805913,0.0001914587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003220919,"about_ca_system_score_gemma":0.00007300914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005381768,"about_ca_topic_score_gemma":0.09069289,"domain_scores_codex":[0.9986048,0.0001300696,0.0002569506,0.0004368578,0.0002944995,0.0002767989],"domain_scores_gemma":[0.9991972,0.00005233,0.0002434835,0.0002762841,0.00005172846,0.0001789692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007529125,0.0002001506,0.8204464,0.00004809168,0.00006800328,0.00004966941,0.01086232,0.0005052022,0.004622766,0.0003474621,0.1576417,0.004455375],"study_design_scores_gemma":[0.001246633,0.000186999,0.9805688,0.00003805771,0.00006460003,0.000001916338,0.0005063493,0.002643213,0.0001471297,0.000284416,0.01409783,0.0002140381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905338,0.00004842956,0.0002573538,0.005947893,0.0001796653,0.000299841,0.00002004744,0.00003055841,0.002682406],"genre_scores_gemma":[0.9968286,0.00004637992,0.0009174861,0.000463959,0.0000589816,4.637767e-7,0.00005163493,0.00001127101,0.001621291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1601225,"threshold_uncertainty_score":0.998644,"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."}}