{"id":"W4385257188","doi":"10.2196/47902","title":"Trends in Cause-Specific Injury Mortality in China in 2005-2019: Longitudinal Observational Study","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observational study; Medicine; China; Environmental health; Geography; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.007283659,0.0001516422,0.0005589371,0.0007779526,0.00006871377,0.00001281203,0.00007470775,0.0001362597,0.0001124389],"category_scores_gemma":[0.0002838846,0.0001302725,0.00003841573,0.001594531,0.00005293265,0.0001566137,0.00004215382,0.0004871521,0.00001498161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001864618,"about_ca_system_score_gemma":0.0003475732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00088716,"about_ca_topic_score_gemma":0.01325559,"domain_scores_codex":[0.9969301,0.0009327705,0.0008044187,0.0004520819,0.0002102733,0.0006703659],"domain_scores_gemma":[0.9991558,0.0001795387,0.0001259438,0.0002588096,0.00003149529,0.000248412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001778406,0.0003742093,0.9758098,0.00005757698,0.000009582021,0.00004372359,0.0005823972,0.00000476326,0.000001750178,0.0002550342,0.009707466,0.01297585],"study_design_scores_gemma":[0.001379407,0.000291772,0.9882684,0.00002297515,2.884431e-7,0.000005890779,0.0001462234,0.0002974458,3.820227e-8,0.0001791017,0.009300699,0.0001078074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982151,0.0003899963,0.000004971856,0.01624219,0.000196161,0.0006033125,0.00003080056,0.0000525454,0.0003289957],"genre_scores_gemma":[0.9971559,0.0005680465,0.00001788346,0.0006415901,0.00009887487,0.0001573341,0.0004793002,0.00001073187,0.0008703419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0156006,"threshold_uncertainty_score":0.7396931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1834417190563149,"score_gpt":0.4363664029522106,"score_spread":0.2529246838958957,"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."}}