{"id":"W4388002668","doi":"10.1016/j.prevetmed.2023.106061","title":"Method in limbo? Theoretical and empirical considerations in using thematic analysis by veterinary and One Health researchers","year":2023,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Royal Veterinary College; Leverhulme Centre for Integrative Research on Agriculture and Health; Sveriges Lantbruksuniversitet; University of Oxford; School of Oriental and African Studies, University of London; London Centre for Integrative Research on Agriculture and Health; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Simon Fraser University; Royal College of Veterinary Surgeons Charitable Trust; UK Research and Innovation; Biotechnology and Biological Sciences Research Council; University of Exeter; Government of the United Kingdom; Wolfson College, University of Oxford; Medical Research Council; London School of Hygiene and Tropical Medicine","keywords":"Thematic analysis; Epistemology; Sociology; Situated; Ideology; Ontology; Social science; Qualitative research; Engineering ethics; Politics; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004063275,0.0001791359,0.0008317985,0.0009189593,0.00009154224,0.00001261921,0.00005048537,0.00008134603,0.0004285511],"category_scores_gemma":[0.00105455,0.0001478921,0.00005516293,0.001518421,0.0004683878,0.00009131595,0.0001497721,0.0003383651,0.000002395795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001415051,"about_ca_system_score_gemma":0.0003180728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004748607,"about_ca_topic_score_gemma":0.00002052364,"domain_scores_codex":[0.9966458,0.001410787,0.0006227202,0.0004690737,0.0003622884,0.0004893179],"domain_scores_gemma":[0.997587,0.001515536,0.00008934992,0.000243238,0.00004809454,0.0005167745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007154361,0.01103705,0.5412174,0.02040312,0.005964542,0.01115228,0.1051195,0.0002335703,0.02908611,0.05733874,0.008991361,0.202302],"study_design_scores_gemma":[0.006416819,0.009408915,0.877558,0.002657862,0.0005858786,0.000602897,0.01022876,0.06978621,0.00000886767,0.02193733,0.0004285485,0.0003799297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595479,0.001627823,0.001487356,0.03615043,0.00002710378,0.0007352966,0.00002190251,0.00003643996,0.000365786],"genre_scores_gemma":[0.992488,0.0007349746,0.005264757,0.001258894,0.00004494889,0.0000461031,0.00006869474,0.00002023086,0.00007336269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3363405,"threshold_uncertainty_score":0.6030865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3393534767398432,"score_gpt":0.534082959206862,"score_spread":0.1947294824670188,"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."}}