{"id":"W2990912840","doi":"10.1289/isesisee.2018.s03.04.40","title":"Women at Work: How Exposed Are They?","year":2018,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Occupational exposure and asthma","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Demography; Disease; Epidemiology; Gerontology; Internal medicine","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001600239,0.0001717977,0.0002507073,0.00007023811,0.00008743408,0.00005786026,0.0001269093,0.0001160697,0.00120519],"category_scores_gemma":[0.0001533762,0.0001408891,0.00005805628,0.0001036806,0.0001223227,0.0001414142,0.00005325651,0.0001535021,0.001398294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001037267,"about_ca_system_score_gemma":0.0001624083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008447284,"about_ca_topic_score_gemma":0.00005355268,"domain_scores_codex":[0.9987697,0.0000195458,0.000199743,0.0002898331,0.0003300338,0.0003911676],"domain_scores_gemma":[0.9988346,0.00006488135,0.0001543499,0.0003490169,0.0003346588,0.0002624801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007567123,0.002443233,0.317699,0.0004866706,0.00086988,0.001663725,0.02849186,0.0001594242,0.2374445,0.003270584,0.2086719,0.1912321],"study_design_scores_gemma":[0.0009790474,0.0003354771,0.9456035,0.000160813,0.00001718172,0.0000248036,0.0005348477,0.000003775934,0.01126697,0.0003359065,0.04054607,0.0001915357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96241,0.00003316758,0.00002595421,0.003162477,0.0002094461,0.0001944652,0.0000107054,0.00008285709,0.03387094],"genre_scores_gemma":[0.9809039,0.00001108125,0.0002026666,0.0008965366,0.0005874346,0.00002358621,0.0000293465,0.00001895357,0.01732648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6279045,"threshold_uncertainty_score":0.9997078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05384387636485664,"score_gpt":0.2722585526664014,"score_spread":0.2184146763015447,"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."}}