{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01205351,0.0006844159,0.001091236,0.0009825976,0.001884245,0.008253757,0.001854768,0.007114005,0.01636987],"category_scores_gemma":[0.03149981,0.0005463712,0.0009771842,0.0005895835,0.005745167,0.01103038,0.002736162,0.005611875,0.0009616003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004080746,"about_ca_system_score_gemma":0.004099801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003330737,"about_ca_topic_score_gemma":0.004110318,"domain_scores_codex":[0.9933137,0.00406592,0.0002442019,0.0006591447,0.00120874,0.0005082786],"domain_scores_gemma":[0.9767609,0.01738904,0.001955568,0.001385052,0.001773853,0.0007355977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002344245,0.0001445519,0.001321947,0.0001051102,0.00006773089,0.0001834748,0.0004861927,0.02282946,0.001101837,0.928178,0.007415639,0.03793164],"study_design_scores_gemma":[0.00002113787,0.00008001702,0.0007594117,0.0001034402,0.00003525132,0.00005377398,0.0003566746,0.0454041,0.00108978,0.940263,0.0117826,0.00005073489],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1798639,0.009721764,0.4205327,0.14959,0.001924454,0.0003041385,0.0003907913,0.0003306876,0.2373416],"genre_scores_gemma":[0.9633096,0.00135096,0.01607143,0.001516967,0.0003795109,0.00006722957,0.00003461342,0.00004301166,0.01722672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01636987,"threshold_uncertainty_score":0.0637458,"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."}}