{"id":"W4251671504","doi":"10.1515/iupac.76.0116","title":"Aerodynamic Diameter (of a Particle)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Aerodynamic diameter; Hazard; Relation (database); Computer science; Toxicology; Medicine; Chemistry; Pharmacology; Data mining; Linguistics; Biology; Philosophy","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":[0.0008724795,0.002085578,0.001813176,0.004338947,0.0006406384,0.002523165,0.00193891,0.00140151,0.04469447],"category_scores_gemma":[0.005580661,0.000559974,0.001350754,0.005706064,0.0003604163,0.002048126,0.001615688,0.001597946,0.08392112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106382,"about_ca_system_score_gemma":0.001280821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01169293,"about_ca_topic_score_gemma":0.0168911,"domain_scores_codex":[0.99886,0.0001223966,0.000242408,0.0004085187,0.0002767911,0.00008980625],"domain_scores_gemma":[0.9976421,0.0008139904,0.0004045971,0.000483148,0.0005371125,0.000119102],"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":[0.00009973031,0.00003684915,0.003964494,0.00217952,0.0000552507,0.00003713236,0.00004926162,0.0006152705,0.00027402,0.000713086,0.9798836,0.0120917],"study_design_scores_gemma":[0.000132685,0.00002649575,0.01244269,0.0005832569,0.00004381851,0.0001525995,0.00009192662,0.0008469809,0.0004948839,0.001693919,0.9834414,0.00004947845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000272245,0.0001990959,0.0001436329,0.00002921427,0.00002548481,0.00001402239,0.9981276,0.0004047499,0.0007839164],"genre_scores_gemma":[0.000771737,0.0002028773,0.0005788202,0.00004635994,0.00001248794,0.000100552,0.9975061,0.00007617273,0.0007048924],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04469447,"threshold_uncertainty_score":0.149518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009373371524164231,"score_gpt":0.3427717117673606,"score_spread":0.3333983402431964,"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."}}