{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001211293,0.0002246715,0.0002795242,0.00009066935,0.000047749,0.0000352749,0.0002291979,0.0001729168,0.001858092],"category_scores_gemma":[0.00002564943,0.0001786091,0.0000706612,0.0001284747,0.00003957729,0.0000475427,0.00004083946,0.00009876013,0.00001289763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009955078,"about_ca_system_score_gemma":0.00007214834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001557279,"about_ca_topic_score_gemma":0.0001240357,"domain_scores_codex":[0.998991,0.00001314282,0.0002702495,0.0001844273,0.0002734876,0.0002677147],"domain_scores_gemma":[0.9992013,0.00002259322,0.0000401571,0.0005540559,0.00008704987,0.00009484579],"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":[0.000006282577,0.00002894328,0.00000114791,0.00006360574,0.00003870539,0.000004819849,0.000001958113,0.00000689097,0.003359315,0.00001155987,0.9956381,0.0008386371],"study_design_scores_gemma":[0.0002465011,0.00002549328,0.00001251146,0.00006777943,0.00004344501,0.000003495342,0.000002028243,0.00000937764,0.004130863,0.0001729368,0.9950493,0.0002362566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002609255,0.0005402533,0.000093842,0.00008481237,0.0005324876,0.0001507871,0.9957125,0.0002433797,0.00003267493],"genre_scores_gemma":[0.000432822,0.0009886058,0.0000281522,0.00004169641,0.0004086074,0.00004303062,0.9979758,0.00003766582,0.00004362201],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.002263289,"threshold_uncertainty_score":0.9990544,"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."}}