{"id":"W4396519807","doi":"10.1079/cabionehealth.2024.0013","title":"Putting gender upfront in One Health AMR research and implementation strategies","year":2024,"lang":"en","type":"article","venue":"CABI One Health","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Development Research Centre","funders":"","keywords":"Business; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3125249,0.001419184,0.00270021,0.002805044,0.01430378,0.02532665,0.00768975,0.0201411,0.02621201],"category_scores_gemma":[0.2717068,0.001260261,0.002640937,0.00233298,0.03352151,0.03439058,0.04735968,0.02270377,0.00304637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02760084,"about_ca_system_score_gemma":0.15645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01577055,"about_ca_topic_score_gemma":0.01801865,"domain_scores_codex":[0.682504,0.2622534,0.006431906,0.009214141,0.02028648,0.01931009],"domain_scores_gemma":[0.6175544,0.2773001,0.0161832,0.0133774,0.0346279,0.04095707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004213593,0.0003333369,0.005987381,0.008392707,0.0003250627,0.0008629515,0.1054097,0.0006492633,0.0008336738,0.5527714,0.144642,0.1793711],"study_design_scores_gemma":[0.0001944844,0.0006953464,0.002795676,0.02765294,0.0003038308,0.0003302681,0.08295916,0.0006325634,0.00100525,0.3046909,0.5785482,0.0001913267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004263423,0.01341472,0.007263273,0.950471,0.005429422,0.0003681492,0.0001627315,0.00007100878,0.01855619],"genre_scores_gemma":[0.2881326,0.02176159,0.02594593,0.6427684,0.005987858,0.003022318,0.0002113091,0.0002975027,0.01187238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3125249,"threshold_uncertainty_score":0.8477792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2787962661313071,"score_gpt":0.5174695973028599,"score_spread":0.2386733311715528,"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."}}