{"id":"W3189341243","doi":"","title":"Assessment of heavy metals contamination incommercial cosmetic products / Nur Farhanah Zainuddin","year":2017,"lang":"en","type":"article","venue":"","topic":"Heavy Metals in Plants","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Atomic absorption spectroscopy; Chemistry; Heavy metals; Zinc; Contamination; Health risk; Health hazard; Environmental chemistry; Metal; Detection limit; Nuclear chemistry; Chromatography; Medicine","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":[0.0004972573,0.00044813,0.0003556084,0.001584103,0.0006775312,0.0008812518,0.0002171362,0.0004699314,0.001694569],"category_scores_gemma":[0.0002780212,0.0002176801,0.0003141952,0.0006573586,0.0002744424,0.000303154,0.0004544296,0.000271242,0.0003224245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005274517,"about_ca_system_score_gemma":0.0005781562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007880333,"about_ca_topic_score_gemma":0.01451112,"domain_scores_codex":[0.9994911,0.000063065,0.0000322272,0.00006496807,0.0003084971,0.00004016784],"domain_scores_gemma":[0.9998372,0.00002079419,0.00004470141,0.000007221221,0.00008424788,0.000005871466],"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":[0.000685483,0.0003578969,0.2452565,0.002472259,0.0003254462,0.002359061,0.003202588,0.001636912,0.4873254,0.001448593,0.002282365,0.2526475],"study_design_scores_gemma":[0.00002697329,0.00124763,0.6215479,0.000533076,0.0004626434,0.00489497,0.006628417,0.004325427,0.2884351,0.001197206,0.0706147,0.00008602016],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782079,0.008894413,0.002764509,0.0002691073,0.00005113721,0.00006410325,0.0002496481,0.00004222481,0.009456913],"genre_scores_gemma":[0.9866785,0.003524289,0.003856985,0.0001480027,0.00001202166,0.000025163,0.0002281977,0.00001336108,0.005513491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007880333,"threshold_uncertainty_score":0.01566893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04162523859601352,"score_gpt":0.3485120633220657,"score_spread":0.3068868247260522,"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."}}