{"id":"W7015068796","doi":"","title":"Rapid evidence profile #64: Identifying features and impacts of public health strategies that can be used to prevent, reduce and/or mitigate avian influenza spillover to humans","year":2024,"lang":"en","type":"other","venue":"MacSphere (McMaster University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Public Health Agency; Public Health Agency of Canada; McMaster University","keywords":"Public health; Spillover effect; Influenza A virus subtype H5N1; Empirical evidence; Evidence-based practice; Real world evidence; Global health; Scientific evidence; Animal health; Human health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01916466,0.001459075,0.002599298,0.01029718,0.0008725018,0.005744688,0.00361801,0.005697554,0.4254372],"category_scores_gemma":[0.149598,0.001339323,0.004299743,0.008796101,0.0008343188,0.003769279,0.004804601,0.002950549,0.08749782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004967661,"about_ca_system_score_gemma":0.01486708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01505674,"about_ca_topic_score_gemma":0.04687753,"domain_scores_codex":[0.9864296,0.004451358,0.003489703,0.0004455473,0.004347029,0.0008369135],"domain_scores_gemma":[0.8371351,0.07963301,0.01645476,0.005323511,0.05388384,0.007569747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0004318962,0.00004707508,0.0003983017,0.05353687,0.0001699023,0.00007190719,0.00007429541,0.0001872543,0.0001573698,0.001888402,0.8802823,0.06275443],"study_design_scores_gemma":[0.003295609,0.0002771305,0.006296111,0.1280526,0.0009550755,0.0001486928,0.0002973681,0.0006022842,0.000707961,0.009130836,0.8501203,0.0001159968],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.001171233,0.01586965,0.00367092,0.05230531,0.004486781,0.02489931,0.6099439,0.003017596,0.2846352],"genre_scores_gemma":[0.02550062,0.06650075,0.08970515,0.07304779,0.0091928,0.06686369,0.380837,0.004726106,0.2836261],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.4254372,"threshold_uncertainty_score":0.819544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1086178559002551,"score_gpt":0.3176587446581461,"score_spread":0.209040888757891,"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."}}