{"id":"W3162126206","doi":"10.1079/hai.2020.0011","title":"Stress Reduction in Law Enforcement Officers and Staff through a Canine-Assisted Intervention","year":2020,"lang":"en","type":"article","venue":"Human-animal interaction bulletin","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Law enforcement; Intervention (counseling); Context (archaeology); Mental health; Enforcement; Medicine; Precinct; Nursing; Psychology; Psychiatry; Law; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001254644,0.0002840523,0.0002694513,0.00007083957,0.0001905705,0.0001121547,0.0001302129,0.0001326908,0.001460656],"category_scores_gemma":[0.00006999461,0.0003080243,0.0001358928,0.00009843513,0.0001564436,0.00003344073,0.0002060516,0.000313922,0.0001015859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001121786,"about_ca_system_score_gemma":0.00001590585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001675808,"about_ca_topic_score_gemma":0.001476257,"domain_scores_codex":[0.9981534,0.0001399952,0.0005996154,0.000639283,0.0001917099,0.0002759209],"domain_scores_gemma":[0.9992816,0.00001684981,0.0002779336,0.000178352,0.0001500888,0.00009517521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002744942,0.0006215394,0.0005787623,0.0001758269,0.0003331758,0.00002505656,0.0029843,0.0002672529,0.9466385,0.007952646,0.03682927,0.0008486968],"study_design_scores_gemma":[0.003034932,0.004477402,0.003443929,0.0002832681,0.0001008889,0.0001108663,0.02194634,0.000180939,0.1837255,0.00003261421,0.7818377,0.000825593],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779079,0.0002840836,0.0002032593,0.001625565,0.0003049409,0.0003902635,0.00002585462,0.00006223527,0.01919588],"genre_scores_gemma":[0.9975826,0.00008443226,0.0001854237,0.000530488,0.0003851214,0.00008474496,0.0001658179,0.00003929422,0.0009421147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.762913,"threshold_uncertainty_score":0.9999372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.041896149728361,"score_gpt":0.3588600821766533,"score_spread":0.3169639324482923,"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."}}