{"id":"W2147644017","doi":"10.1136/oemed-2014-102286","title":"CAREX Canada: an enhanced model for assessing occupational carcinogen exposure","year":2014,"lang":"en","type":"article","venue":"Occupational and Environmental Medicine","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; Cancer Care Ontario; University of British Columbia; Simon Fraser University","funders":"","keywords":"Environmental health; Context (archaeology); Carex; Exposure assessment; Occupational exposure; Population; European union; Toxicology; International agency; Medicine; Geography; Cancer; Biology; Business; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001347261,0.0002452208,0.0002994959,0.00006131882,0.0002503776,0.00001137758,0.00006950093,0.00007513335,0.0002617426],"category_scores_gemma":[0.00006382444,0.0002015345,0.00005213356,0.00004537835,0.0002155765,0.0002073943,0.00003590592,0.0000910774,0.000003675768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002864026,"about_ca_system_score_gemma":0.0001989009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005153333,"about_ca_topic_score_gemma":0.003342174,"domain_scores_codex":[0.9983215,0.00003055215,0.0003293202,0.0004322917,0.0006343588,0.0002519816],"domain_scores_gemma":[0.9991761,0.0001219521,0.0001006537,0.0001999905,0.0000209408,0.0003803383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001217884,0.0003635759,0.9427036,0.0001401025,0.00008215064,0.000004313769,0.000273003,0.002282945,0.03389436,0.000577714,0.002105564,0.0163548],"study_design_scores_gemma":[0.002098494,0.0003960732,0.9144636,0.00005445216,0.0001422665,0.0000199135,0.0003062338,0.08047153,0.0004343169,0.0003089933,0.001085621,0.0002185471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851211,0.0002567492,0.01262336,0.0006009672,0.0001194988,0.0003875677,0.0003884092,0.00002476029,0.0004776006],"genre_scores_gemma":[0.9893164,0.00002946385,0.002300527,0.00226786,0.0005212314,0.00009340262,0.004871385,0.00002837723,0.0005713475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07818858,"threshold_uncertainty_score":0.821834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166909339601668,"score_gpt":0.2694055260483402,"score_spread":0.2477364326523235,"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."}}