{"id":"W6998733206","doi":"","title":"Assessment of heavy metals contamination in
\\ncommercial cosmetic products / Nur Farhanah Zainuddin","year":2017,"lang":"en","type":"book","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"Heavy Metals in Plants","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heavy metals; Atomic absorption spectroscopy; Contamination; Health hazard; Health risk; Human health","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":[0.0004366238,0.0003063669,0.000235548,0.001165395,0.0005658751,0.0007258443,0.0002234417,0.0003665251,0.001369294],"category_scores_gemma":[0.0002279214,0.0001645183,0.0002576942,0.0005143998,0.0002477244,0.0002205077,0.0004039062,0.0002416267,0.0002899545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005777907,"about_ca_system_score_gemma":0.0007034799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0142184,"about_ca_topic_score_gemma":0.0337176,"domain_scores_codex":[0.9995514,0.00004833965,0.00002864641,0.00005898899,0.0002770001,0.00003568196],"domain_scores_gemma":[0.9998329,0.00001614388,0.00004082461,0.000007532561,0.00009647592,0.00000608417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005823088,0.0003743292,0.178197,0.001854419,0.0001771568,0.00140869,0.002444637,0.001071237,0.5412307,0.001448044,0.002761532,0.2684499],"study_design_scores_gemma":[0.00002016268,0.001081613,0.5805132,0.0004476001,0.0002953419,0.002130727,0.005465074,0.002911705,0.3212109,0.0009382652,0.08490583,0.00007956974],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739842,0.006455692,0.003952627,0.00025683,0.00005146161,0.000102269,0.00039337,0.00004423619,0.01475921],"genre_scores_gemma":[0.9748172,0.003444119,0.006566099,0.0001948399,0.00001141533,0.00004840628,0.0004486892,0.00001806893,0.01445131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0142184,"threshold_uncertainty_score":0.02827126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02685727426454434,"score_gpt":0.2799479137791737,"score_spread":0.2530906395146293,"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."}}