{"id":"W4386895030","doi":"10.3389/fvets.2023.1199576","title":"Barriers and opportunities for improving dog bite prevention and dog management practices in northern Indigenous communities","year":2023,"lang":"en","type":"article","venue":"Frontiers in Veterinary Science","topic":"Rabies epidemiology and control","field":"Immunology and Microbiology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université du Québec en Abitibi-Témiscamingue; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Université de Montréal","keywords":"Indigenous; Thematic analysis; Population; Geography; Culling; Socioeconomics; Veterinary medicine; Environmental health; Medicine; Qualitative research; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002194603,0.0001242465,0.000225413,0.0006331135,0.0004820169,0.00003364522,0.000281921,0.0001033758,0.000003204879],"category_scores_gemma":[0.0001557156,0.000120562,0.00002147911,0.000264261,0.00113057,0.000393824,0.0002287714,0.0001796043,0.000001679786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005072387,"about_ca_system_score_gemma":0.00009425461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001740352,"about_ca_topic_score_gemma":0.000181176,"domain_scores_codex":[0.9987336,0.0002945699,0.0002437963,0.0002698838,0.00003286041,0.0004253104],"domain_scores_gemma":[0.999382,0.0001942669,0.0001829625,0.0001871668,0.0000233379,0.00003022926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007208416,0.00007026246,0.7410436,0.0004294794,0.000123589,0.0001492769,0.0170119,0.0001086867,0.01637141,0.001081564,0.0004190528,0.2224703],"study_design_scores_gemma":[0.004906421,0.003733042,0.731272,0.0002852178,0.00008513963,0.0002761248,0.2202907,0.003929513,0.00018766,0.007411595,0.02675367,0.0008688672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953226,0.002505337,0.0003894948,0.0003419987,0.0006810345,0.0004750314,0.0000121153,0.00003299751,0.0002394051],"genre_scores_gemma":[0.9967584,0.001223462,0.0007699252,0.0001439594,0.000006614968,0.0001371037,0.00001639403,0.000006997285,0.0009371584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2216015,"threshold_uncertainty_score":0.4916377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05672663804652696,"score_gpt":0.3109302205765221,"score_spread":0.2542035825299952,"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."}}