{"id":"W2099325539","doi":"10.1007/s11051-006-9154-x","title":"Health risk assessment for nanoparticles: A case for using expert judgment","year":2006,"lang":"en","type":"article","venue":"Journal of Nanoparticle Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":130,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Materials science; Risk assessment; Nanoparticle; Nanotechnology; Risk analysis (engineering); Computer science; Business","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":[0.01012449,0.0001130773,0.0003067553,0.0001008309,0.0009135707,0.00009548833,0.000194078,0.0000546626,0.00009694669],"category_scores_gemma":[0.0003784944,0.00009280632,0.0001276045,0.0003461014,0.0001787332,0.0003833921,0.00008904282,0.0002651523,0.00001140173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001266279,"about_ca_system_score_gemma":0.0003774904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002054028,"about_ca_topic_score_gemma":0.0004623161,"domain_scores_codex":[0.996564,0.0005378469,0.000859708,0.0002112331,0.0008412845,0.0009859178],"domain_scores_gemma":[0.997973,0.0007419857,0.0004291415,0.0002081663,0.0001686712,0.0004790471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003316771,0.006930355,0.041694,0.0007227683,0.0001589511,0.000694261,0.008177835,0.03047278,0.5208814,0.005628007,0.2055448,0.1757782],"study_design_scores_gemma":[0.02021068,0.02308176,0.02508597,0.0005559535,0.0001283092,0.004437618,0.01065539,0.3911438,0.2948839,0.03692757,0.1917164,0.001172651],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697542,0.0003546674,0.01585494,0.01291746,0.000109936,0.0009198682,0.00002165877,0.000009032072,0.00005820886],"genre_scores_gemma":[0.9356394,0.0000454351,0.06340922,0.0005083068,0.0002575407,0.00004409254,6.937739e-7,0.00002026686,0.00007497872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.360671,"threshold_uncertainty_score":0.7026539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2445090469362729,"score_gpt":0.5132395347696755,"score_spread":0.2687304878334026,"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."}}