{"id":"W2989682036","doi":"10.1289/isee.2011.01686","title":"SKINJEM: A JOB EXPOSURE MATRIX FOR OCCUPATIONAL SKIN CANCER RISK","year":2011,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; Cancer Care Ontario; University of British Columbia","funders":"","keywords":"Job-exposure matrix; Occupational exposure; Environmental health; Occupational cancer; Population; Toxicology; Medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001521811,0.0009128442,0.0004393258,0.005592884,0.0009150887,0.001204741,0.0009561983,0.0004384924,0.01358236],"category_scores_gemma":[0.009190949,0.0003666596,0.001238861,0.00371638,0.0003788638,0.0005967623,0.001713726,0.001008518,0.001838359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002916025,"about_ca_system_score_gemma":0.007312769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2291903,"about_ca_topic_score_gemma":0.355347,"domain_scores_codex":[0.9985906,0.0002421756,0.000171598,0.000284689,0.0005648443,0.0001460133],"domain_scores_gemma":[0.9947879,0.001546568,0.0008053724,0.0003523737,0.002195208,0.0003126427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00131448,0.0003618141,0.5364989,0.002485276,0.0008846142,0.0006056764,0.00209353,0.01655923,0.006602608,0.005191001,0.160953,0.2664499],"study_design_scores_gemma":[0.000160524,0.0003491715,0.7131749,0.0006493744,0.0003435592,0.000795914,0.002415154,0.02801454,0.003728829,0.005617533,0.244571,0.0001794872],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.2492896,0.00136182,0.09570935,0.001464844,0.0002162434,0.00291345,0.624316,0.005348232,0.01938055],"genre_scores_gemma":[0.3910501,0.000873107,0.2881372,0.0002781497,0.00005946128,0.002593916,0.3072788,0.0005397167,0.00918952],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2291903,"threshold_uncertainty_score":0.4557125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04212568843567346,"score_gpt":0.3143217083667602,"score_spread":0.2721960199310867,"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."}}