{"id":"W2081879205","doi":"10.1002/ajim.20185","title":"Age-related differences in work injuries: A multivariate, population-based study","year":2005,"lang":"en","type":"article","venue":"American Journal of Industrial Medicine","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":220,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health","funders":"","keywords":"Medicine; Confounding; Demography; Logistic regression; Young adult; Occupational safety and health; Injury prevention; Multivariate analysis; Population; Gerontology; Human factors and ergonomics; Multivariate statistics; Poison control; Epidemiology; Working population; Environmental health","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":[0.00329465,0.0001680713,0.0008442174,0.0006709945,0.0002609607,0.000004427665,0.0002764704,0.0001431042,0.0008066253],"category_scores_gemma":[0.004450219,0.0001122199,0.00005324317,0.00164798,0.0001924984,0.0001161733,0.00003044665,0.00206492,0.00002620609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000426937,"about_ca_system_score_gemma":0.00109135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005194513,"about_ca_topic_score_gemma":0.0003991351,"domain_scores_codex":[0.9945303,0.001978789,0.001965038,0.0001756968,0.000860174,0.0004899539],"domain_scores_gemma":[0.9938085,0.004099406,0.001184631,0.0001812853,0.0003337479,0.0003924025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002204259,0.0002634143,0.8636379,0.000004508277,0.00003044538,0.00002345172,0.003040403,0.00007684063,0.000003040881,0.00002188925,0.0004677322,0.1302262],"study_design_scores_gemma":[0.00869344,0.003651851,0.9772328,0.001267586,0.00002478488,9.86527e-7,0.008563717,0.00007735496,3.583161e-7,0.00003285925,0.0003532257,0.0001010847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834263,0.000063012,0.00003046503,0.01424697,0.0008604609,0.0009747997,0.000004290952,0.0000141353,0.0003795889],"genre_scores_gemma":[0.997027,0.0000105517,0.0002211319,0.0006057209,0.001982836,0.00003638418,0.00001000794,0.00001616179,0.00009018584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1301251,"threshold_uncertainty_score":0.8971164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1407964357980464,"score_gpt":0.476984524537505,"score_spread":0.3361880887394585,"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."}}