{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004171546,0.0004598583,0.0005142692,0.0001318009,0.0000340299,0.00002294995,0.0005813212,0.0006418938,0.001069933],"category_scores_gemma":[0.0003732968,0.0003633639,0.000115659,0.0001543067,0.0001513201,0.00007325232,0.0001373349,0.0006895583,0.000007392202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006460071,"about_ca_system_score_gemma":0.00002293683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005988348,"about_ca_topic_score_gemma":0.00005018744,"domain_scores_codex":[0.9982809,0.000007051306,0.0003341657,0.0003391699,0.0005408777,0.0004978283],"domain_scores_gemma":[0.9987355,0.00007273796,0.00006599706,0.0009090229,0.000114566,0.0001021523],"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":[0.000008815994,0.00001807784,4.459178e-7,0.000123815,0.000056337,0.00003492117,8.514484e-7,0.00006295754,0.0008318771,0.000004364105,0.990052,0.008805471],"study_design_scores_gemma":[0.0003122068,0.00003404013,0.000001129007,0.0002222705,0.00003293124,0.000008323838,0.000004833046,0.00001210928,0.005707508,0.0006079495,0.99257,0.000486724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001509444,0.001512515,0.0005631071,0.0001558545,0.0006131875,0.0001409576,0.9952587,0.001518932,0.00008578671],"genre_scores_gemma":[0.0000487223,0.003226707,0.0002026619,0.0000442986,0.0004748591,0.00001450782,0.9957646,0.00007968045,0.0001440311],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008318747,"threshold_uncertainty_score":0.9998818,"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."}}