{"id":"W4248994070","doi":"10.1515/iupac.88.1086","title":"Mycoplasma","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.0004663395,0.0004002105,0.0006255914,0.0002894023,0.000709681,0.0001292097,0.0006999221,0.0008606911,0.03014013],"category_scores_gemma":[0.0006929093,0.0003495655,0.0002815062,0.00008540389,0.0004620002,0.00008161601,0.0003852462,0.001087142,0.000302934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002281396,"about_ca_system_score_gemma":0.001294756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009904962,"about_ca_topic_score_gemma":0.001725443,"domain_scores_codex":[0.9981728,0.0001744533,0.0003564009,0.0005368666,0.0001463509,0.0006131582],"domain_scores_gemma":[0.9976984,0.00008384393,0.0002499618,0.001420713,0.0004649955,0.00008206932],"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":[0.0001981864,0.0004143606,0.00001380676,0.000122499,0.0003255995,0.00006363629,0.000004049417,5.66646e-7,0.001071213,0.000007327323,0.9961355,0.001643256],"study_design_scores_gemma":[0.001136355,0.0001777572,0.00002330965,0.0001659792,0.0001480525,0.0001515911,0.00001053757,2.043019e-7,0.0002910989,0.00003566049,0.9974944,0.000365044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005005006,0.004080742,0.00001060663,0.0001907173,0.00201519,0.0003088505,0.9926262,0.00007043435,0.0001967142],"genre_scores_gemma":[0.0001126336,0.001511017,0.000003891294,0.00009890102,0.0003029905,0.0000208808,0.9932041,0.00002931149,0.004716261],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02983719,"threshold_uncertainty_score":0.9998956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048314740384727,"score_gpt":0.4426290776063391,"score_spread":0.4221459302024918,"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."}}