{"id":"W2944395140","doi":"10.5539/enrr.v9n2p75","title":"Assessment of Technologies for Measuring Exposure to NO2 during Welding on Aluminum Alloys","year":2019,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Environmental science; Welding; Inert gas; Arc welding; Gas metal arc welding; Threshold limit value; Shielded metal arc welding; Materials science; Metallurgy; Environmental health; Composite material; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002676378,0.0007882839,0.0005439397,0.001446196,0.0003057081,0.0009335335,0.00151562,0.00137393,0.0006149084],"category_scores_gemma":[0.003086932,0.0002451688,0.0005514023,0.0009126907,0.000303372,0.0005388262,0.0007210129,0.0003458155,0.0003688739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006772517,"about_ca_system_score_gemma":0.000479978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002087086,"about_ca_topic_score_gemma":0.003166125,"domain_scores_codex":[0.9943439,0.001158851,0.0002382242,0.0005307064,0.003540745,0.0001875843],"domain_scores_gemma":[0.9982036,0.000328605,0.0004212645,0.0001421561,0.0008441645,0.00006015303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006752823,0.0002575402,0.05380106,0.0006942604,0.0001311658,0.0001940737,0.000317926,0.001274664,0.9072921,0.0001678018,0.0001457276,0.0350482],"study_design_scores_gemma":[0.0000346142,0.008902995,0.1871724,0.0001131189,0.0002471071,0.0008209684,0.0007860414,0.005958526,0.7898148,0.0003626162,0.005717114,0.00006952736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.956205,0.005005119,0.03212557,0.000136221,0.0001129583,0.0007237064,0.000606149,0.0001456829,0.004939588],"genre_scores_gemma":[0.9492247,0.003380197,0.04277925,0.0001217072,0.00003799638,0.0004178412,0.0007449266,0.00002745765,0.003265871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002676378,"threshold_uncertainty_score":0.01415426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06124813001121718,"score_gpt":0.3559605460883999,"score_spread":0.2947124160771827,"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."}}