{"id":"W4391169976","doi":"10.5271/sjweh.4140","title":"Respirable crystalline silica and lung cancer in community-based studies: impact of job-exposure matrix specifications on exposure–response relationships","year":2024,"lang":"en","type":"article","venue":"Scandinavian Journal of Work Environment & Health","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; Université de Montréal","funders":"National Cancer Institute; Rijksinstituut voor Volksgezondheid en Milieu; National Institutes of Health; Istituto Nazionale per l'Assicurazione Contro Gli Infortuni sul Lavoro; Ministry of Labour and Social Protection of the Russian Federation; Compagnia di San Paolo; Regione Lombardia; Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; Institut National Du Cancer; Division of Cancer Epidemiology and Genetics, National Cancer Institute; Fondation de France; European Commission; Universiteit Utrecht; Agence Nationale de la Recherche; Deutsche Gesetzliche Unfallversicherung","keywords":"Lung cancer; Job-exposure matrix; Matrix (chemical analysis); Occupational exposure; Materials science; Medicine; Environmental health; Composite material; Oncology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1016062,0.001171637,0.001113621,0.001805968,0.000472399,0.002069143,0.001433893,0.001220393,0.001347618],"category_scores_gemma":[0.1557818,0.0007406489,0.003970716,0.002207312,0.001431348,0.001647864,0.001988171,0.001033503,0.0001385498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006251741,"about_ca_system_score_gemma":0.0007307349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002948661,"about_ca_topic_score_gemma":0.003918705,"domain_scores_codex":[0.8634032,0.115852,0.005700354,0.008590877,0.005830194,0.0006232957],"domain_scores_gemma":[0.699935,0.2494084,0.02475332,0.02117927,0.003911362,0.000812592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004297854,0.0002200685,0.9384443,0.0007809757,0.01427992,0.0001707,0.0007245301,0.01430589,0.002494577,0.001256595,0.0002847452,0.02273995],"study_design_scores_gemma":[0.0002498668,0.002447286,0.9146162,0.0002617156,0.00276641,0.0004585535,0.0006937911,0.07149102,0.001797024,0.004073882,0.001025721,0.0001185708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593762,0.001774862,0.03668043,0.0002969242,0.0000356284,0.0002236196,0.0008812512,0.00009091752,0.0006401598],"genre_scores_gemma":[0.9915261,0.00009179337,0.007679146,0.00005499056,0.00001089659,0.000114537,0.000419123,0.00001556393,0.00008780328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1016062,"threshold_uncertainty_score":0.5373516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06934123502889805,"score_gpt":0.379411153664759,"score_spread":0.310069918635861,"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."}}