{"id":"W2110612460","doi":"10.7557/2.33.2.2532","title":"Standardized monitoring of Rangifer health during International Polar Year","year":2013,"lang":"en","type":"article","venue":"Rangifer","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Northwest Territories; Yukon Department of Environment; Island Health; University of Calgary","funders":"Canadian Institutes of Health Research; Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Circumpolar star; Wildlife; Sampling (signal processing); Geography; Population; Environmental resource management; Environmental health; Ecology; Biology; Environmental science; Medicine; Computer science; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002709509,0.0003750482,0.0002305683,0.001219393,0.001186554,0.000507012,0.0006587417,0.0002822614,0.001548183],"category_scores_gemma":[0.002054582,0.0001918053,0.0001413987,0.0007398324,0.000587987,0.0004190399,0.0009824005,0.0004406839,0.000425817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007416374,"about_ca_system_score_gemma":0.001782732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02271951,"about_ca_topic_score_gemma":0.08190612,"domain_scores_codex":[0.9986298,0.0006121602,0.0001198132,0.000251947,0.0001995846,0.0001866519],"domain_scores_gemma":[0.9977638,0.0002090195,0.0007020813,0.0002021019,0.000845466,0.0002775488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003380163,0.0004603387,0.9224477,0.0001326477,0.00002745707,0.0002007273,0.007174532,0.0005041864,0.009924635,0.0003368906,0.002710684,0.05574217],"study_design_scores_gemma":[0.000008617209,0.0007069042,0.9882078,0.00006127575,0.00001674363,0.0001052967,0.002628527,0.0002545382,0.002168507,0.00007786086,0.005746811,0.00001713008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693962,0.0004292196,0.006841125,0.0001564107,0.00003864185,0.001795961,0.003035786,0.0001197028,0.01818698],"genre_scores_gemma":[0.9517862,0.001166474,0.02738712,0.000250228,0.000069437,0.003793448,0.005857797,0.00003277251,0.009656485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02271951,"threshold_uncertainty_score":0.04517454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02632746613443122,"score_gpt":0.3701233352136817,"score_spread":0.3437958690792505,"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."}}