{"id":"W2055383111","doi":"10.1002/jwmg.185","title":"Fecal hormones as a non‐invasive population monitoring method for reindeer","year":2011,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Zoo; Concordia University","funders":"","keywords":"Metabolite; Feces; Immunoassay; Hormone; Biology; Population; Physiology; Endocrinology; Internal medicine; Medicine; Immunology; Ecology; Antibody","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":[0.0008435184,0.000491414,0.0003534241,0.00119064,0.0002401899,0.0004270506,0.0004280884,0.0004196347,0.0007072156],"category_scores_gemma":[0.0009851031,0.0002429827,0.0001887776,0.0004553599,0.0002961022,0.0002746659,0.0002921787,0.0002917298,0.0002365516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002388692,"about_ca_system_score_gemma":0.0002328719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002333415,"about_ca_topic_score_gemma":0.007533581,"domain_scores_codex":[0.9992954,0.0002421683,0.00004953828,0.0001812146,0.0001898453,0.00004180534],"domain_scores_gemma":[0.9991975,0.0001908786,0.0002639828,0.0000530174,0.000242047,0.0000526297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005079528,0.0001581354,0.6610752,0.0003036256,0.0001481003,0.0002477615,0.0002760698,0.0006055101,0.2841734,0.00009449309,0.0003792339,0.05203062],"study_design_scores_gemma":[0.00002121858,0.001108933,0.9427005,0.00006484357,0.000181774,0.0006657539,0.0002784727,0.003438698,0.04977094,0.00009092806,0.001643645,0.00003432746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9793563,0.002813086,0.0143575,0.00009136834,0.0000532647,0.0001553557,0.0009153623,0.0001853106,0.002072393],"genre_scores_gemma":[0.9550908,0.001013444,0.04087417,0.0002024308,0.00004732182,0.0002185592,0.0006268414,0.00002018689,0.001906289],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002333415,"threshold_uncertainty_score":0.004639626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648087972047914,"score_gpt":0.2711088584772192,"score_spread":0.2446279787567401,"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."}}