{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002548652,0.0002301314,0.0003084072,0.0004895836,0.004374193,0.001736639,0.001040633,0.0006265172,0.002375313],"category_scores_gemma":[0.00457747,0.0002073456,0.000217963,0.0006305414,0.00233117,0.0009883478,0.002280382,0.0007493012,0.0001054161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005120444,"about_ca_system_score_gemma":0.01679664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3733141,"about_ca_topic_score_gemma":0.4798884,"domain_scores_codex":[0.9980129,0.0008580722,0.00007462234,0.000109669,0.0002805054,0.0006641775],"domain_scores_gemma":[0.9971733,0.0006768798,0.0005495622,0.00008279464,0.0003935103,0.001123972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008665203,0.0005079498,0.2182602,0.0009070439,0.00004235094,0.002319937,0.705026,0.0001920204,0.003764262,0.001982457,0.00172311,0.06518807],"study_design_scores_gemma":[0.000009179999,0.0001899719,0.2489876,0.0005734763,0.00002417563,0.0003467089,0.73896,0.0002225693,0.0002129422,0.0004350416,0.01000396,0.00003430484],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934192,0.0003974307,0.0001410671,0.001567018,0.00000974351,0.00005682382,0.00002256167,0.000006541476,0.004379533],"genre_scores_gemma":[0.9983009,0.0004104699,0.0004904725,0.0001694221,0.000003892361,0.00004225862,0.00001664586,0.000001507405,0.0005644933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3733141,"threshold_uncertainty_score":0.7422824,"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."}}