{"id":"W2937520733","doi":"10.14288/1.0378062","title":"Retrospective pesticide exposure assessment for studying multiple myeloma risk for farm work in British Columbia, Canada","year":2019,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Risk assessment; Multiple myeloma; Pesticide; Environmental health; Medicine; Engineering; Computer science","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":[0.003961303,0.0004233003,0.0004926797,0.00422352,0.002260942,0.001197073,0.001791093,0.0004296524,0.001380875],"category_scores_gemma":[0.009695639,0.0004578832,0.0006152907,0.00705064,0.0004741975,0.0003016671,0.0007320131,0.0004594456,0.0002398675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02027349,"about_ca_system_score_gemma":0.05028047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9895117,"about_ca_topic_score_gemma":0.9930474,"domain_scores_codex":[0.9968423,0.0004814526,0.000462049,0.0004488556,0.00153072,0.0002347834],"domain_scores_gemma":[0.9895111,0.0009592594,0.001404509,0.0003474416,0.007240649,0.0005369746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001036981,0.00004037106,0.9749913,0.0003683523,0.0001333405,0.0001158501,0.0006505817,0.0002531594,0.000360489,0.00009845235,0.002791333,0.02009305],"study_design_scores_gemma":[0.00001356399,0.00004260284,0.9950925,0.0001723584,0.00009625643,0.00006047178,0.0006831709,0.000396553,0.0001565394,0.00002857509,0.003244559,0.00001286944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9267528,0.0134811,0.004637236,0.001762816,0.000104396,0.001957612,0.0376076,0.0001550816,0.01354132],"genre_scores_gemma":[0.9756091,0.00533984,0.006935844,0.0004380443,0.00002262442,0.0007521037,0.007640805,0.00002356502,0.003237989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02027349,"threshold_uncertainty_score":0.1470951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008228942305865423,"score_gpt":0.1770760410652198,"score_spread":0.1688470987593544,"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."}}