{"id":"W2043792777","doi":"10.1260/1708-5284.10.3.191","title":"Nanotechnology and medical devices: Risk, regulation and ‘meta’ registration","year":2013,"lang":"en","type":"article","venue":"World Journal of Engineering","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute","funders":"","keywords":"Relevance (law); Nanotechnology; Risk analysis (engineering); Risk assessment; Data science; Computer science; Engineering; Materials science; Medicine; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002122112,0.00006386831,0.0001955106,0.0002258668,0.00002752168,0.000006994392,0.00003247159,0.0006424132,0.0001123868],"category_scores_gemma":[0.0001956827,0.0000450664,0.00003059108,0.0001218959,0.00005399951,0.00008233838,0.00001410969,0.001312933,0.000001537833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000914026,"about_ca_system_score_gemma":0.00001490212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008177139,"about_ca_topic_score_gemma":0.000009464564,"domain_scores_codex":[0.9995273,0.000008234615,0.0002209998,0.00006135728,0.0001028925,0.00007924855],"domain_scores_gemma":[0.9996542,0.00004821037,0.0001140882,0.00006550145,0.00004692542,0.00007109606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005627791,0.0005568535,0.08894582,0.001926074,0.01627981,0.00134242,0.001364951,0.003281511,0.2067145,0.1357891,0.01757744,0.5256587],"study_design_scores_gemma":[0.009616145,0.002211742,0.6421782,0.001854433,0.01125144,0.02717273,0.0003854537,0.100142,0.03847988,0.006381015,0.1592348,0.00109225],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9236867,0.01049467,0.01399984,0.05113392,0.0001854827,0.0001484367,2.805639e-7,0.00007091562,0.0002796972],"genre_scores_gemma":[0.9940907,0.001290914,0.004258456,0.0001249333,0.00005405529,0.000001448606,3.410809e-7,0.00000587508,0.0001732608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5532324,"threshold_uncertainty_score":0.5704114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006663203539492239,"score_gpt":0.2134045678617191,"score_spread":0.2067413643222269,"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."}}