{"id":"W4241131954","doi":"10.1515/iupac.79.0959","title":"Bronchospasm","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Terminology; CAS Registry Number; Toxicology; Computer science; Library science; Chemistry; Philosophy; Biology; Linguistics; 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":[0.0008153707,0.001562738,0.001985059,0.002620226,0.0005765299,0.001765011,0.001736547,0.001721195,0.05618846],"category_scores_gemma":[0.006859752,0.0003874364,0.001988988,0.002823355,0.0002309099,0.001267672,0.001374296,0.001435022,0.04017906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009565035,"about_ca_system_score_gemma":0.001500023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009102538,"about_ca_topic_score_gemma":0.02104545,"domain_scores_codex":[0.9990308,0.0001302286,0.0002407229,0.0003240244,0.0001680795,0.0001061735],"domain_scores_gemma":[0.997282,0.000790947,0.0005852917,0.0004880855,0.0006363286,0.0002173259],"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":[0.001103574,0.00007399387,0.01508168,0.006301857,0.0004014639,0.0001771653,0.00003483749,0.000439496,0.0003779275,0.0004175831,0.9514405,0.02414994],"study_design_scores_gemma":[0.001713842,0.0002105994,0.1013151,0.005461445,0.0008138546,0.00155998,0.0001862133,0.001177217,0.001078359,0.002510313,0.8838157,0.0001573819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000684306,0.0006648579,0.00009565416,0.00008082003,0.00005017612,0.00006538474,0.9967046,0.0001617225,0.001492448],"genre_scores_gemma":[0.002074491,0.000459746,0.0003372265,0.0001732634,0.00004063506,0.000277983,0.9953537,0.0000315845,0.001251412],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05618846,"threshold_uncertainty_score":0.1879691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008107821132473563,"score_gpt":0.3431761417438207,"score_spread":0.3350683206113472,"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."}}