{"id":"W4384701846","doi":"10.1016/j.onehlt.2023.100603","title":"Public awareness of One Health in China","year":2023,"lang":"en","type":"article","venue":"One Health","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; Canadian Institutes of Health Research; National Office for Philosophy and Social Sciences","keywords":"Public health; China; Data science; Medicine; Geography; Computer science; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001278477,0.0002057148,0.0002529887,0.00126368,0.0008963917,0.0007825557,0.0003022844,0.0004252327,0.001918028],"category_scores_gemma":[0.002476981,0.0001931106,0.0002762013,0.001551936,0.000689555,0.0007771123,0.0008368483,0.0004130225,0.00007442262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00214418,"about_ca_system_score_gemma":0.003286438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05700551,"about_ca_topic_score_gemma":0.04380878,"domain_scores_codex":[0.9993582,0.0001320076,0.0000667636,0.00009636393,0.0001659223,0.0001807105],"domain_scores_gemma":[0.9976823,0.0004387822,0.0008327329,0.00009591861,0.0003657436,0.0005844234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003385993,0.00006771899,0.9738154,0.000118908,0.0000293406,0.0003343156,0.008780547,0.0001159097,0.0006953072,0.0003867573,0.0005678387,0.01505413],"study_design_scores_gemma":[0.000003244759,0.00004471403,0.9943507,0.00002414132,0.000009844352,0.00007022406,0.004181247,0.0001800964,0.00008415588,0.0000743617,0.0009690117,0.000008312986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977406,0.0001817843,0.00004763752,0.000525025,0.000006797049,0.00001269823,0.00006764473,0.00000354129,0.001414338],"genre_scores_gemma":[0.9994866,0.0001346676,0.00002794892,0.00006833738,0.000005151894,0.000006497046,0.00005545182,4.793315e-7,0.0002149426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05700551,"threshold_uncertainty_score":0.1133474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1354918353326438,"score_gpt":0.3821054219409069,"score_spread":0.2466135866082631,"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."}}