{"id":"W3182506114","doi":"10.1093/heapro/daab110","title":"One Health and reconciliation: media portrayals of dogs and Indigenous communities in Canada","year":2021,"lang":"en","type":"article","venue":"Health Promotion International","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Cumming School of Medicine, University of Calgary; University of Calgary","keywords":"Indigenous; Culling; Animal welfare; Population; Focus group; Public relations; Welfare; One Health; Commission; Political science; Medicine; Sociology; Veterinary medicine; Environmental health; Public health; Nursing; Law","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":[0.0002639944,0.00006142538,0.0001469479,0.00004676573,0.00007081503,0.000008752184,0.00004464805,0.00002823441,0.00007148289],"category_scores_gemma":[0.00008816008,0.00007279636,0.00001126473,0.00003814979,0.00003725045,0.000007342946,0.00006368699,0.00008557802,4.070305e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001822096,"about_ca_system_score_gemma":0.00150654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3717206,"about_ca_topic_score_gemma":0.9163533,"domain_scores_codex":[0.9991193,0.0001294685,0.0003604496,0.0001281914,0.0001469601,0.000115608],"domain_scores_gemma":[0.9994229,0.00003323297,0.0001944772,0.00008190112,0.0001972934,0.00007020836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001596466,0.0005746398,0.9078739,0.0007579104,0.0002972346,0.000009538568,0.02605755,0.000029228,0.004332294,0.001799903,0.005088893,0.05301923],"study_design_scores_gemma":[0.001601859,0.0007932135,0.9572393,0.0004226895,0.000005215999,0.0001317938,0.01339482,0.0001192746,0.004911709,0.00032135,0.02078266,0.0002761318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914414,0.00226383,0.00007173511,0.00549935,0.0002443043,0.0001167478,0.0000816194,0.000002893086,0.0002780668],"genre_scores_gemma":[0.9948223,0.00320066,0.000322494,0.001104205,0.00006467172,0.00001638735,0.0003618366,0.000005563241,0.0001019399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5446327,"threshold_uncertainty_score":0.6324632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0595028985632625,"score_gpt":0.3659162409094366,"score_spread":0.3064133423461741,"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."}}