{"id":"W6976911044","doi":"10.60692/f908k-n0z96","title":"Assessment of Micronutrient Status of Electronic Waste (E-waste) Recyclers at Agbogbloshie (Ghana) Using Dietary Information and Biomarker Data","year":2020,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Micronutrient; Urine; Biomarker; Micronutrient deficiency; Zinc","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":[0.0004094726,0.0001690481,0.0002599854,0.000132658,0.00008678585,0.00005617465,0.0002893074,0.00007009553,0.00002047504],"category_scores_gemma":[0.00001632895,0.0001486075,0.00004373147,0.0002971318,0.00008257173,0.001735537,0.000736632,0.00007782318,0.00002458357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002928866,"about_ca_system_score_gemma":0.00002272427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000970073,"about_ca_topic_score_gemma":8.907954e-7,"domain_scores_codex":[0.998168,0.00006799944,0.0008413173,0.0001741039,0.0004345748,0.00031401],"domain_scores_gemma":[0.998658,0.000008430642,0.000730085,0.0004622846,0.00002781607,0.0001133617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002670546,0.00001450636,0.9412724,0.002764646,0.0002441969,0.000001463529,0.02878086,0.008501917,0.001661083,0.00006710627,0.001837805,0.01458699],"study_design_scores_gemma":[0.002706091,0.0004775663,0.2551951,0.0006081438,0.0002777913,0.00001845026,0.04384635,0.6772623,0.01330243,0.000003572298,0.005493883,0.000808344],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796935,0.000009672068,0.01706959,0.00003463172,0.00006933519,0.0005176051,0.0001505033,0.00007088394,0.002384232],"genre_scores_gemma":[0.9978883,0.00000704286,0.00183841,0.00008314432,0.00001246465,0.000008395592,0.0001456051,0.000007136277,0.000009562449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6860773,"threshold_uncertainty_score":0.6060038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05741696939588856,"score_gpt":0.2521004172043501,"score_spread":0.1946834478084616,"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."}}