{"id":"W4249502431","doi":"10.1515/iupac.79.1671","title":"Nanoparticle","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Multidisciplinary approach; Toxicology; Chemistry; Philosophy; Biology; Linguistics; Sociology; Social science; Organic chemistry","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":[0.0008788518,0.001672875,0.001443559,0.00312369,0.0009740007,0.002878296,0.002450122,0.001722318,0.1004047],"category_scores_gemma":[0.005547933,0.0005438692,0.001885498,0.004470673,0.0002862047,0.001710061,0.001696517,0.001378258,0.1614107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369438,"about_ca_system_score_gemma":0.002192595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0143212,"about_ca_topic_score_gemma":0.033492,"domain_scores_codex":[0.9987959,0.0001624485,0.0001713891,0.000400503,0.0003398161,0.0001300281],"domain_scores_gemma":[0.9984365,0.0003797569,0.0001794757,0.0004003408,0.0004964124,0.0001074807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001199016,0.00002964362,0.001241483,0.001788129,0.00005894254,0.00002754126,0.00002327936,0.0003534767,0.0002538824,0.0008124569,0.9807372,0.01455409],"study_design_scores_gemma":[0.00009068698,0.00001829196,0.002502927,0.0003839871,0.00004495783,0.00006456078,0.00003999021,0.0003141244,0.0003763821,0.001430166,0.9947146,0.00001931397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002492009,0.0004046813,0.0002006379,0.0001118723,0.00006265379,0.00002884088,0.9949987,0.0004816186,0.003461716],"genre_scores_gemma":[0.0004905841,0.0002562854,0.0004888409,0.00012688,0.00001297371,0.00008371747,0.9961097,0.00007849932,0.002352507],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1004047,"threshold_uncertainty_score":0.3358873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008913425277292324,"score_gpt":0.3345852834103135,"score_spread":0.3256718581330211,"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."}}