{"id":"W2972975874","doi":"10.31557/apjec.2018.1.1.19-25","title":"CARcinogen EXposure: CAREX","year":2018,"lang":"en","type":"article","venue":"Asian Pacific Journal of Environment and Cancer","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carex; European union; Environmental health; Occupational cancer; Occupational exposure; Medicine; Estimation; Cancer; Business; Environmental protection; Geography; Engineering; Biology; Ecology; International trade","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001100069,0.000677396,0.0006368251,0.001382505,0.0006962207,0.001536216,0.001402136,0.001084357,0.03107077],"category_scores_gemma":[0.004673998,0.0001669297,0.001479278,0.002663792,0.00048755,0.0009360518,0.001239198,0.0008804825,0.004822094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003043765,"about_ca_system_score_gemma":0.005477227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08753832,"about_ca_topic_score_gemma":0.05914116,"domain_scores_codex":[0.9985241,0.000344969,0.0001138516,0.0002904575,0.0005561616,0.0001705029],"domain_scores_gemma":[0.9986343,0.0002141788,0.00022794,0.0001004491,0.0006832904,0.000139725],"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":[0.0006003062,0.0005058697,0.2153025,0.004275067,0.0005803781,0.0009177212,0.0004596923,0.01490484,0.0009815007,0.03154529,0.3661036,0.3638233],"study_design_scores_gemma":[0.0001254441,0.0004859224,0.1253161,0.001199071,0.000453561,0.001355115,0.0003939227,0.007631656,0.001152451,0.00972314,0.8521039,0.00005972666],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1527995,0.03579039,0.05158628,0.0320425,0.00249488,0.006780478,0.266213,0.004418461,0.4478745],"genre_scores_gemma":[0.670975,0.02989276,0.04023703,0.009512996,0.0008881784,0.003235325,0.1107174,0.0004533452,0.1340878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08753832,"threshold_uncertainty_score":0.1740575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00932296579397857,"score_gpt":0.2371999386873595,"score_spread":0.227876972893381,"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."}}