{"id":"W2462235910","doi":"","title":"Confined Spaces: Common Misconceptions & Errors in Complying With OSHA’s Standard","year":2011,"lang":"en","type":"article","venue":"Professional safety","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Regional Municipality of Durham","funders":"","keywords":"Forensic engineering; Risk analysis (engineering); Computer science; Business; Medicine; Toxicology; Computer security; Engineering; Biology","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":[0.0001111866,0.0001337723,0.0002216585,0.00005766516,0.0001602532,0.0000060615,0.00008800733,0.00005242103,0.0003137972],"category_scores_gemma":[0.000005818309,0.00009960614,0.00003098161,0.0001249967,0.00009066398,0.0001096639,0.00003801511,0.0002629876,0.00002578023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008043624,"about_ca_system_score_gemma":0.0000230924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001091409,"about_ca_topic_score_gemma":0.001085497,"domain_scores_codex":[0.9993036,0.00003758884,0.0001598923,0.0001262093,0.0001527285,0.0002200059],"domain_scores_gemma":[0.9997272,0.00005459008,0.00002574557,0.0001145316,0.00002332441,0.00005457534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006907464,0.001371186,0.7320914,0.001202415,0.001366313,0.0003641324,0.1282873,0.01675112,0.009248007,0.03797075,0.02807749,0.03636237],"study_design_scores_gemma":[0.003108279,0.0002208644,0.9385599,0.0009179319,0.00004673127,0.0000259437,0.01277521,0.003362102,0.001072483,0.0009583632,0.03812458,0.0008276185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.922387,0.0002982755,0.001043525,0.000600067,0.0006586032,0.0004227985,0.00007141686,0.0003289152,0.07418941],"genre_scores_gemma":[0.9976477,0.00003459248,0.001888496,0.00004498289,0.00002917264,0.00001930891,0.000008377782,0.00002363997,0.0003037161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2064685,"threshold_uncertainty_score":0.4061821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03029559774373547,"score_gpt":0.257105041219964,"score_spread":0.2268094434762286,"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."}}