{"id":"W7099121928","doi":"","title":"Project Level Targeting of Occupational Risk Areas for Construction Workers Using OSHA Accident Investigation Reports","year":2015,"lang":"en","type":"article","venue":"","topic":"Blood groups and transfusion","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Occupational safety and health; Government (linguistics); Occupational accident; Work (physics); Construction industry; Risk assessment; Data collection; System safety","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002528598,0.0003897809,0.0002688786,0.01041274,0.0004326904,0.0008034949,0.000480906,0.0002039272,0.002137787],"category_scores_gemma":[0.007248115,0.0001830696,0.0003630312,0.005731189,0.0001665436,0.0003489923,0.0009674909,0.0002456539,0.0007151824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006428859,"about_ca_system_score_gemma":0.001355088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01871639,"about_ca_topic_score_gemma":0.03193421,"domain_scores_codex":[0.9972722,0.0008141022,0.000430107,0.0002505251,0.0009629516,0.0002700792],"domain_scores_gemma":[0.9903714,0.001552944,0.004173181,0.0005587852,0.003126807,0.0002167928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001111053,0.00006949862,0.9536061,0.0001467162,0.00004187705,0.0001474142,0.0009111724,0.001492379,0.001661047,0.0001868719,0.001339306,0.04028641],"study_design_scores_gemma":[0.000002614595,0.0001265939,0.9926471,0.00003543484,0.00002393306,0.0001463522,0.001216226,0.002032881,0.0009447446,0.0000375868,0.002774072,0.00001252873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689716,0.0003870799,0.008880037,0.00008684595,0.00002731587,0.0006862834,0.008589226,0.0002230328,0.01214868],"genre_scores_gemma":[0.9752588,0.0005382909,0.01330989,0.00002838034,0.00002550851,0.0004646885,0.006935546,0.00002890187,0.003409964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01871639,"threshold_uncertainty_score":0.03721493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1705248330244789,"score_gpt":0.357143758920233,"score_spread":0.1866189258957541,"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."}}