{"id":"W1595432579","doi":"10.1002/wsb.343","title":"Ear‐tag loss rates in American beavers","year":2013,"lang":"en","type":"article","venue":"Wildlife Society Bulletin","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lakehead University; National Park Service; Northern Michigan University","keywords":"Population; National park; Biology; Ecology; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001555421,0.0001185892,0.0001550407,0.000008323777,0.0002122563,0.00001655717,0.0001928564,0.00006670524,0.006671238],"category_scores_gemma":[0.00002818036,0.0001083253,0.0001041167,0.0001801188,0.0009608,0.00005544411,0.0002861296,0.0001720131,0.01121396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001186508,"about_ca_system_score_gemma":0.00000443155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002982223,"about_ca_topic_score_gemma":0.0001865561,"domain_scores_codex":[0.9990984,0.0000440836,0.0001176779,0.0002690921,0.0001383773,0.0003324035],"domain_scores_gemma":[0.9996768,0.00007217754,0.00005673209,0.0001215379,0.000006150155,0.00006659665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002958643,0.00003221127,0.5844734,0.000001436772,0.00001081545,0.000001981073,0.0006796848,0.00001894552,0.00003007763,0.000003029388,0.4145043,0.0002411798],"study_design_scores_gemma":[0.0003653426,0.00004668402,0.8172957,0.000003437273,0.000005761759,0.000001145442,0.003446553,0.00002454367,0.0000276496,0.00004593217,0.1785997,0.0001375279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577762,0.00001861189,0.00000526542,0.0372745,0.00005759953,0.0001787617,0.000003784257,0.00003719958,0.004648099],"genre_scores_gemma":[0.979145,0.0001857437,0.001953366,0.01591536,0.00003120193,0.00002372857,0.000004487575,0.000006284377,0.002734847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2359047,"threshold_uncertainty_score":0.9942368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005518279779851295,"score_gpt":0.196246401109481,"score_spread":0.1907281213296297,"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."}}