{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002287729,0.0001504183,0.0008693347,0.0005578792,0.000118758,0.00001290145,0.0001301989,0.00007855161,0.0003482432],"category_scores_gemma":[0.000259876,0.0001487861,0.00008322106,0.001685405,0.00005581816,0.00009422185,0.00005952007,0.0002931496,0.00009065898],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003822415,"about_ca_system_score_gemma":0.00773939,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01552654,"about_ca_topic_score_gemma":0.001223856,"domain_scores_codex":[0.9971008,0.0002411247,0.0008625502,0.0003639191,0.0004768142,0.0009547995],"domain_scores_gemma":[0.9979217,0.0000792085,0.0002793268,0.0005297904,0.00008529883,0.001104693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000309996,0.005009476,0.138905,0.01298883,0.0001079459,0.00003240405,0.003465215,0.00002830028,0.00002301458,0.0790244,0.03430503,0.7258004],"study_design_scores_gemma":[0.002013552,0.0009612349,0.9803514,0.0007367408,0.000006130264,0.000006893338,0.0003601461,0.0005527215,0.000003852308,0.001195026,0.01369305,0.0001191828],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4160473,0.001522792,0.0002475327,0.5746899,0.0003354171,0.001282682,0.0001263992,0.0002626897,0.005485281],"genre_scores_gemma":[0.9871808,0.002703502,0.0005296043,0.008431527,0.0001768012,0.00003373088,0.0003720483,0.0000389966,0.0005330019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8414465,"threshold_uncertainty_score":0.9978858,"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."}}