{"id":"W4400933913","doi":"10.1016/j.impact.2024.100523","title":"Next Generation Risk Assessment approaches for advanced nanomaterials: Current status and future perspectives","year":2024,"lang":"en","type":"review","venue":"NanoImpact","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"HORIZON EUROPE Framework Programme; European Commission","keywords":"Risk analysis (engineering); Risk assessment; Transparency (behavior); Computer science; Relevance (law); Reliability (semiconductor); Data science; Management science; Engineering; Business; 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":[0.007439255,0.00105454,0.001703974,0.002633072,0.0005560921,0.002641059,0.002285736,0.003089773,0.004101368],"category_scores_gemma":[0.004351964,0.0004650565,0.001220712,0.001965833,0.00187929,0.004531418,0.002089333,0.004105452,0.001487826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00190145,"about_ca_system_score_gemma":0.004076328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001870334,"about_ca_topic_score_gemma":0.002810213,"domain_scores_codex":[0.9979993,0.0005403004,0.0001630201,0.0002085968,0.0009727092,0.0001161478],"domain_scores_gemma":[0.9949642,0.003341058,0.0003727516,0.0001509588,0.001052415,0.0001185451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000466593,0.0001298894,0.0003036684,0.01514017,0.0001249871,0.0002434526,0.0003218745,0.003497993,0.002425174,0.1300754,0.01386702,0.8338237],"study_design_scores_gemma":[0.00001117011,0.0001328036,0.0003440918,0.007198183,0.0001075663,0.0007244059,0.000355041,0.001177047,0.001413091,0.06680758,0.9216673,0.00006183651],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003106666,0.9842651,0.006528555,0.003197416,0.0004408011,0.00002271879,0.00002008098,0.00003045303,0.005184157],"genre_scores_gemma":[0.004880926,0.9840856,0.007678715,0.001227328,0.0005445295,0.00005575199,0.00003957335,0.00001279109,0.001474902],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007439255,"threshold_uncertainty_score":0.039343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1464799543090008,"score_gpt":0.3982785431859136,"score_spread":0.2517985888769128,"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."}}