{"id":"W6921773751","doi":"10.1021/es071354u.s003","title":"Chronic Disease and Early Exposure\\nto Air-Borne Mixtures. 2. Exposure\\nAssessment","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boiler (water heating); Combustion; Etiology; Coal; Chronic disease; Coke","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":[0.001100161,0.001052563,0.001271046,0.002888405,0.0005473063,0.001645845,0.001864289,0.001460928,0.03329327],"category_scores_gemma":[0.007372648,0.0005260908,0.002022384,0.006227678,0.0003802914,0.0008539,0.001665194,0.001715804,0.009858351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009187926,"about_ca_system_score_gemma":0.001495888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03777178,"about_ca_topic_score_gemma":0.05179065,"domain_scores_codex":[0.9989512,0.0001718354,0.0001876484,0.0003190138,0.0001963175,0.0001738994],"domain_scores_gemma":[0.9972867,0.0006697099,0.0008859098,0.0004276147,0.0004868205,0.0002432159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001251352,0.0001506567,0.1692507,0.006487628,0.001397181,0.0001361948,0.0001923501,0.001815161,0.0003392461,0.002028886,0.8063338,0.01061672],"study_design_scores_gemma":[0.001922854,0.0002177264,0.4953564,0.002697871,0.001381588,0.0006487859,0.0005883924,0.002491105,0.0006211416,0.002264757,0.4916772,0.0001321711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003070554,0.0004525188,0.00009814454,0.0001115006,0.00004043196,0.00002952212,0.9953413,0.00008152826,0.0007745314],"genre_scores_gemma":[0.01714187,0.0005388796,0.0005367524,0.0001695844,0.00005415867,0.000400765,0.978585,0.0000575681,0.002515426],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03777178,"threshold_uncertainty_score":0.1113771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04208388798590016,"score_gpt":0.2317948803565787,"score_spread":0.1897109923706786,"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."}}