{"id":"W2141795963","doi":"10.1080/15287390903340922","title":"Risk Assessment Practice for Essential Metals","year":2010,"lang":"en","type":"article","venue":"Journal of Toxicology and Environmental Health","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"","keywords":"Risk assessment; Risk analysis (engineering); Heavy metals; Computer science; Relation (database); Environmental science; Chemistry; Medicine; Environmental chemistry; Data mining; Computer security","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":[0.0005445876,0.00006554125,0.00015013,0.00004678992,0.0001170959,0.00001455848,0.00004126438,0.00007194369,0.0001280844],"category_scores_gemma":[0.00004349588,0.00005820237,0.00003871419,0.00001723413,0.00004151545,0.0002947878,0.000006711342,0.000353689,0.000002740284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004112789,"about_ca_system_score_gemma":0.00003542997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001341949,"about_ca_topic_score_gemma":0.00001459669,"domain_scores_codex":[0.999415,0.00004121611,0.0002921059,0.00005764827,0.00008065521,0.0001134233],"domain_scores_gemma":[0.9994351,0.00017724,0.0002250198,0.00004395724,0.000009292226,0.0001093729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001135159,0.004083323,0.01462432,0.0008288298,0.001621433,0.00006319372,0.003679826,0.0236541,0.6568463,0.00843172,0.07605518,0.2089766],"study_design_scores_gemma":[0.003241334,0.002756886,0.03928322,0.00001639777,0.0002232742,0.001944266,0.002199039,0.01486881,0.01379456,0.001815869,0.9194934,0.0003629166],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459284,0.001174714,0.04597104,0.00315861,0.002071795,0.0002340358,0.00003601134,0.00002355949,0.001401845],"genre_scores_gemma":[0.9832683,0.00262445,0.01334049,0.0004886883,0.000163912,0.000004911369,0.000004005904,0.000008508008,0.00009677566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8434383,"threshold_uncertainty_score":0.2373424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008921368038180593,"score_gpt":0.3221820621958748,"score_spread":0.3132606941576942,"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."}}