{"id":"W4390372649","doi":"10.1016/j.shaw.2023.12.004","title":"Assessing Neurobehavioral Alterations Among E-waste Recycling Workers in Hong Kong","year":2023,"lang":"en","type":"article","venue":"Safety and Health at Work","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Chinese University of Hong Kong; Research Grants Council, University Grants Committee; Missouri University of Science and Technology","keywords":"Environmental health; Logistic regression; Government (linguistics); Confounding; Medicine; Hazardous waste; Occupational safety and health; Engineering; Waste management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00105783,0.0001282137,0.0001795191,0.00009999437,0.0004808129,0.00009799311,0.0001072896,0.00005985182,0.00005767643],"category_scores_gemma":[0.00001365607,0.0001299607,0.00003425391,0.0008679695,0.00009613345,0.0003409275,0.0002577182,0.0002307493,0.00006702452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002005651,"about_ca_system_score_gemma":0.00001052105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007798317,"about_ca_topic_score_gemma":0.001008245,"domain_scores_codex":[0.9985251,0.0001074911,0.0003801006,0.000358056,0.0001798584,0.000449358],"domain_scores_gemma":[0.9995061,0.00005751413,0.0001105329,0.0001871492,0.000002173655,0.0001365036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001235413,0.00001323009,0.9293021,0.00001580138,0.000001110975,0.00001038983,0.0002556103,0.006237725,0.00001717339,0.00001551622,0.002029012,0.06208999],"study_design_scores_gemma":[0.0001678347,0.00002411053,0.9952884,0.000249309,0.00000335202,7.67247e-7,0.0004874853,0.001750693,0.00001052736,0.0001228345,0.001763001,0.0001317367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905195,0.00005668046,0.0007441426,0.003370133,0.0001969627,0.0003466592,0.00000108017,0.0002463705,0.004518432],"genre_scores_gemma":[0.9958959,0.0004938293,0.001393722,0.0003992148,0.00004790144,0.00001889655,0.00002064592,0.00001881811,0.001711091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06598626,"threshold_uncertainty_score":0.5299645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05056132127364794,"score_gpt":0.3377268460517318,"score_spread":0.2871655247780838,"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."}}