{"id":"W2113437803","doi":"10.1007/s11051-011-0234-1","title":"Horses for courses: risk information and decision making in the regulation of nanomaterials","year":2011,"lang":"en","type":"article","venue":"Journal of Nanoparticle Research","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Center for the Environmental Implications of NanoTechnology; National Science Foundation","keywords":"Risk analysis (engineering); Context (archaeology); Risk assessment; Agency (philosophy); Risk management; Prioritization; Ranking (information retrieval); Computer science; Management science; Business; Engineering; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007519412,0.00005027327,0.0001496415,0.0001765586,0.0001402366,0.00008761607,0.0002383677,0.00003410356,0.00005761371],"category_scores_gemma":[0.0009556049,0.00003157766,0.00003368805,0.0002795333,0.0001279544,0.0005921527,0.00003960081,0.00006340436,0.000008275074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002391499,"about_ca_system_score_gemma":0.00006675483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000023396,"about_ca_topic_score_gemma":0.000008833661,"domain_scores_codex":[0.998412,0.0002582552,0.0006259919,0.0000683835,0.0004397618,0.0001955719],"domain_scores_gemma":[0.9980798,0.000933396,0.0003824639,0.0001618075,0.0004054349,0.00003707443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003564256,0.0001077516,0.002742751,0.00002110435,0.000002930577,4.586575e-7,0.002117574,0.0000255554,0.971429,0.002369046,0.0001454374,0.020682],"study_design_scores_gemma":[0.0004615899,0.000300694,0.06162465,0.0001080288,0.00001417031,0.00001793399,0.001385205,0.0004942366,0.916627,0.01867543,0.0002484827,0.00004252841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984751,0.0001357642,0.000883628,0.0001022656,0.00004744282,0.0003027868,0.0000102254,0.000002806472,0.00004002515],"genre_scores_gemma":[0.9924043,0.00008179808,0.007440877,0.000008030653,0.00003479665,0.00002497807,1.732392e-7,0.000003946985,0.000001035087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0588819,"threshold_uncertainty_score":0.2606093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09846230540239459,"score_gpt":0.381475940489314,"score_spread":0.2830136350869195,"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."}}