{"id":"W1617314916","doi":"10.3233/wor-2003-00289","title":"Falls from trucks: A descriptive study based on a workers compensation database","year":2003,"lang":"en","type":"article","venue":"Work","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Workplace Safety & Insurance Board; University of Toronto","funders":"","keywords":"Truck; Trailer; Transport engineering; Business; Population; Database; Occupational safety and health; Scope (computer science); Operations management; Medicine; Engineering; Medical emergency; Actuarial science; Environmental health; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001328478,0.0001499233,0.0002286518,0.0001373406,0.0008529529,0.00001142174,0.0001531483,0.0001121634,0.002080969],"category_scores_gemma":[0.0009461092,0.0001302435,0.00004235251,0.0006072851,0.00003621884,0.00008098738,0.00003148789,0.0007557069,0.001776168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003720498,"about_ca_system_score_gemma":0.0008501618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001080817,"about_ca_topic_score_gemma":0.0005578668,"domain_scores_codex":[0.9960096,0.002064481,0.0004319331,0.0003744304,0.0005792422,0.0005403483],"domain_scores_gemma":[0.9961226,0.00280822,0.0001253073,0.0004951635,0.0001599412,0.0002887764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001519899,0.0004853887,0.9863294,0.00002713952,0.00001777375,0.00001211028,0.002994358,0.0001094485,0.000005977308,0.0005746264,0.006077334,0.001846556],"study_design_scores_gemma":[0.003228137,0.0003356881,0.9737965,0.0004115271,0.00001532326,5.446523e-8,0.01198119,0.0005114333,0.000004369032,0.0002773757,0.00926777,0.0001706584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679619,0.00006934197,0.002162008,0.0007284706,0.001013427,0.003509171,0.0001552829,0.00009826771,0.02430213],"genre_scores_gemma":[0.9944619,0.000003389918,0.002404353,0.001486908,0.0001670481,0.0004798642,0.0002064843,0.00002418341,0.0007658987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02649997,"threshold_uncertainty_score":0.9990011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.136292496240116,"score_gpt":0.4501137471098223,"score_spread":0.3138212508697063,"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."}}