{"id":"W1968836637","doi":"10.1016/j.nano.2012.08.003","title":"ÉquiNanos: innovative team for nanoparticle risk management","year":2012,"lang":"en","type":"article","venue":"Nanomedicine Nanotechnology Biology and Medicine","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"École Nationale d'Administration Publique; Université du Québec en Abitibi-Témiscamingue; Polytechnique Montréal; Université de Montréal; École de Technologie Supérieure","funders":"","keywords":"Mandate; Business; Corporate governance; Risk analysis (engineering); Risk management; Risk governance; Order (exchange); Public health; Human health; Knowledge management; Computer science; Political science; Medicine; Environmental health","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":[0.004848834,0.0009689886,0.0004468869,0.001594619,0.001978942,0.00219096,0.00131874,0.001703277,0.01644629],"category_scores_gemma":[0.005773372,0.0002932853,0.0004614713,0.0005414598,0.0004638284,0.001842881,0.005062693,0.001245437,0.004110866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001009196,"about_ca_system_score_gemma":0.007060034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009040879,"about_ca_topic_score_gemma":0.001710508,"domain_scores_codex":[0.997426,0.0007329591,0.0002012651,0.000469154,0.0008313971,0.0003392365],"domain_scores_gemma":[0.9946311,0.0005495124,0.0004921548,0.0004233444,0.001654433,0.002249527],"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":[0.0008858361,0.002033024,0.03003306,0.0003191294,0.0001197519,0.001700045,0.002972233,0.003218431,0.01348831,0.00676729,0.04055461,0.8979083],"study_design_scores_gemma":[0.0007432589,0.00697523,0.04240115,0.001198193,0.0005570966,0.007837863,0.01320632,0.05490032,0.03906064,0.03248307,0.8002214,0.0004153559],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.292128,0.003090093,0.5573995,0.01474312,0.003922935,0.008047007,0.001330577,0.007420433,0.1119183],"genre_scores_gemma":[0.3996153,0.001565439,0.4459684,0.003299186,0.001103497,0.003534293,0.002009637,0.0006085301,0.1422957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01644629,"threshold_uncertainty_score":0.05501831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603583673789351,"score_gpt":0.3006705708755565,"score_spread":0.284634734137663,"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."}}