{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06731045,0.002235296,0.001737921,0.005706032,0.004147342,0.01087743,0.008506077,0.00805147,0.009310039],"category_scores_gemma":[0.09128235,0.001207836,0.002127662,0.002472894,0.009398177,0.01180016,0.01378874,0.01018384,0.004785169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006921944,"about_ca_system_score_gemma":0.01079668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003878349,"about_ca_topic_score_gemma":0.003184109,"domain_scores_codex":[0.9506842,0.02412206,0.003861735,0.003902712,0.01626577,0.001163546],"domain_scores_gemma":[0.9335519,0.03830171,0.003247036,0.006433657,0.01730837,0.001157241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001427181,0.0003275703,0.003096769,0.003095647,0.0001949561,0.001701428,0.02038716,0.02186459,0.005110122,0.4769349,0.06612164,0.4010225],"study_design_scores_gemma":[0.00002992453,0.0001379844,0.0007183922,0.003578626,0.00005835763,0.001928411,0.006753686,0.007080215,0.003059339,0.4754959,0.5010322,0.0001269451],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01242838,0.03646026,0.6733061,0.1242534,0.002593088,0.0009646581,0.0002919366,0.001028177,0.1486741],"genre_scores_gemma":[0.2907623,0.05507232,0.5755417,0.02274185,0.002408267,0.001762637,0.000498275,0.001018859,0.05019375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06731045,"threshold_uncertainty_score":0.3559759,"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."}}