{"id":"W4245971111","doi":"10.1515/iupac.79.2197","title":"Ventilation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Toxicology; Hazard; Computer science; Chemistry; Philosophy; Linguistics; Biology; 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":[0.0001961872,0.0003190033,0.0003820533,0.00008636098,0.00005287574,0.00002252768,0.0003454601,0.0003465213,0.005982326],"category_scores_gemma":[0.0002451942,0.0002377386,0.0001892428,0.0001281396,0.00004910553,0.00005964767,0.0002114817,0.0004096394,0.00001318907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004491995,"about_ca_system_score_gemma":0.00006719771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003979015,"about_ca_topic_score_gemma":0.00004755694,"domain_scores_codex":[0.9981177,0.00001464378,0.0003918643,0.0003847451,0.0007459474,0.000345095],"domain_scores_gemma":[0.9989694,0.00006439161,0.0001439516,0.0005714596,0.0001210859,0.0001296905],"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":[0.0001263983,0.00009469598,3.790184e-7,0.0002019726,0.00008515381,0.00001875024,0.000002146005,0.00002578999,0.0003289132,0.00003186251,0.9945291,0.00455488],"study_design_scores_gemma":[0.0005179193,0.0000250074,0.0000058445,0.0003602977,0.0001010874,0.0000019041,0.000002362284,0.00007635626,0.0004871263,0.0001469243,0.9979342,0.0003410142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001683884,0.0003574185,0.002855921,0.0002994821,0.0005311794,0.0001559702,0.995566,0.0001307044,0.00008652015],"genre_scores_gemma":[0.00003187912,0.0008140159,0.00003582362,0.000102848,0.001130016,0.0000106276,0.9969274,0.00003393899,0.0009133988],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005969137,"threshold_uncertainty_score":0.9949263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100890369970449,"score_gpt":0.3550892521918988,"score_spread":0.3450002151948539,"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."}}