{"id":"W2901824916","doi":"10.13075/ijomeh.1896.01332","title":"Letter to the Editor (February 14, 2018) concerning the paper “Histological findings and lung dust analysis as the basis for occupational disease compensation in asbestos-related lung cancer in Germany”","year":2018,"lang":"en","type":"letter","venue":"International Journal of Occupational Medicine and Environmental Health","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Public Health Ontario","funders":"","keywords":"Asbestos; Lung cancer; Medicine; Lung; Lung disease; Pathology; Disease; Occupational exposure; Compensation (psychology); Occupational lung disease; Asbestosis; Environmental health; Internal medicine; Psychology; Materials science","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":[0.0008580823,0.0003360338,0.0005509193,0.0004759462,0.0002813823,0.00003920489,0.0003336418,0.000198031,0.0008830369],"category_scores_gemma":[0.000259533,0.0001823525,0.0002045575,0.000227926,0.0005811568,0.0002048022,0.0001203517,0.000959192,0.000006113005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056928,"about_ca_system_score_gemma":0.000300227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005830321,"about_ca_topic_score_gemma":0.0001572041,"domain_scores_codex":[0.9964211,0.0002349015,0.00111226,0.000413872,0.001506,0.0003118522],"domain_scores_gemma":[0.9977789,0.001101242,0.0006331486,0.0001902331,0.00007921065,0.0002172988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001712681,0.000109231,0.4469872,0.00006384854,0.0006079919,0.00006743155,0.0008039237,0.0005077433,0.00001422201,0.00002809734,0.548483,0.0006146333],"study_design_scores_gemma":[0.001361505,0.0002603083,0.8784943,0.0005326609,0.0006482668,0.00007466637,0.0001564314,0.002485647,7.999223e-7,0.00006131408,0.1157638,0.0001602811],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2842348,0.004023895,0.0001220541,0.7082165,0.001698522,0.0009589326,0.000718179,0.000005230087,0.00002191601],"genre_scores_gemma":[0.6073084,0.001055101,0.0000649914,0.3800135,0.01003743,0.0001350477,0.001139564,0.00002532914,0.0002205403],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4327192,"threshold_uncertainty_score":0.9668635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02568596235366299,"score_gpt":0.3365932257990269,"score_spread":0.3109072634453639,"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."}}