{"id":"W2589013915","doi":"10.1093/annweh/wxw017","title":"Exposure Assessment in a Single-Walled Carbon Nanotube Primary Manufacturer","year":2016,"lang":"en","type":"article","venue":"Annals of Work Exposures and Health","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Raymor (Canada); Polytechnique Montréal; Institut de recherche Robert-Sauvé en santé et en sécurité du travail; Université de Montréal","funders":"Université de Montréal; Mitacs; Polytechnique Montréal","keywords":"Contamination; Gravimetric analysis; Environmental science; Carbon nanotube; Tray; Materials science; Exposure assessment; Occupational exposure; Environmental chemistry; Chemistry; Nanotechnology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008783956,0.000130611,0.0003410205,0.00006865529,0.00007740431,0.00002687721,0.0001351578,0.00006070551,0.00008130728],"category_scores_gemma":[0.00001838279,0.00008498361,0.00004389817,0.0001307716,0.00007802183,0.00007735364,0.00005555523,0.00005660312,0.000004830804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003364358,"about_ca_system_score_gemma":0.0001131494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002023965,"about_ca_topic_score_gemma":0.0001210186,"domain_scores_codex":[0.9985092,0.0001124185,0.0005007437,0.000291205,0.0002180216,0.0003684187],"domain_scores_gemma":[0.9991805,0.0001447929,0.000210851,0.0002825691,0.00004725784,0.000134008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001201327,0.0006180232,0.09711443,0.0001389888,0.00001417279,0.000003555256,0.0007033773,0.000006700834,0.7971841,0.003225525,0.002865919,0.09800512],"study_design_scores_gemma":[0.0007522679,0.0005199532,0.6997863,0.0004823084,0.00000556968,0.000002375988,0.0001178886,0.000001653365,0.2914062,0.002194648,0.004510706,0.0002201722],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738666,0.00176766,0.00004817384,0.02347378,0.00005574057,0.0002605037,0.00001276834,0.00002460073,0.00049011],"genre_scores_gemma":[0.9967514,0.0008871182,0.001128793,0.001022368,0.00005141697,0.00004521618,0.000001596461,0.00001233647,0.00009979942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6026719,"threshold_uncertainty_score":0.3465531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06880932995295211,"score_gpt":0.3278404590987888,"score_spread":0.2590311291458367,"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."}}