{"id":"W2072079802","doi":"10.1080/15459624.2012.713764","title":"Using Death Certificates and Medical Examiner Records for Adolescent Occupational Fatality Surveillance and Research: A Case Study","year":2012,"lang":"en","type":"article","venue":"Journal of Occupational and Environmental Hygiene","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Office of the Chief Medical Examiner","funders":"National Institute for Occupational Safety and Health","keywords":"Medical examiner; Medical record; Medicine; Demographics; Cause of death; Occupational safety and health; Medical emergency; Injury prevention; Demography; Family medicine; Gerontology; Poison control; Disease; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005831273,0.0001527139,0.0002959266,0.000201099,0.001081891,0.00001667375,0.00008705568,0.000140128,0.0001553203],"category_scores_gemma":[0.0007211044,0.0001155951,0.00003989976,0.0001076756,0.0002377879,0.0003543932,0.0001909039,0.0005935923,0.00000324659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002385399,"about_ca_system_score_gemma":0.0003010767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003362672,"about_ca_topic_score_gemma":0.00008034574,"domain_scores_codex":[0.9966044,0.0007801419,0.0007998368,0.0002299717,0.001071177,0.0005144373],"domain_scores_gemma":[0.9965526,0.002192495,0.0002722967,0.0001143641,0.0001697828,0.0006984858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001490505,0.0005691824,0.990169,0.0001514126,0.00003125801,0.00004152964,0.0008058072,0.000003301259,0.0001190498,0.00007701516,0.000214033,0.006327905],"study_design_scores_gemma":[0.001718895,0.0004150552,0.9903988,0.0000732769,0.00001574658,0.0008513058,0.004139167,0.001088332,0.00000762428,0.00008874274,0.001090725,0.0001123501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968194,0.001077384,0.0003876544,0.000398093,0.0002360391,0.0008327274,0.0002188512,0.000004100097,0.00002576719],"genre_scores_gemma":[0.9972819,0.0003588523,0.001401472,0.0001218017,0.0006700741,0.00005116249,0.00004673869,0.00001517645,0.00005282449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006215555,"threshold_uncertainty_score":0.8321137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4744088413527054,"score_gpt":0.5477937580734044,"score_spread":0.07338491672069897,"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."}}