{"id":"W4252553887","doi":"10.1515/iupac.79.1539","title":"Leukopenia","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009722844,0.001249493,0.001803462,0.002392311,0.0005133215,0.001968452,0.001511062,0.001260638,0.06772567],"category_scores_gemma":[0.009079257,0.0003471624,0.001545396,0.003581359,0.0001850838,0.001309263,0.0009873877,0.001331307,0.03989532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009041667,"about_ca_system_score_gemma":0.001387451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005749603,"about_ca_topic_score_gemma":0.0121693,"domain_scores_codex":[0.9987423,0.0001680985,0.0003620956,0.0004041977,0.0002129705,0.0001103813],"domain_scores_gemma":[0.9970663,0.0008095325,0.0006289224,0.0005451275,0.0007697052,0.000180439],"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":[0.001386,0.00006880682,0.01346647,0.004626451,0.0003376258,0.0001244685,0.00003350995,0.0003647533,0.0002827701,0.0005008327,0.9455034,0.03330503],"study_design_scores_gemma":[0.001408113,0.0001485301,0.05355166,0.003457144,0.0005711083,0.001090033,0.0001274915,0.0006385426,0.0008889579,0.002709509,0.9353101,0.00009887965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000848404,0.0007964269,0.0001526889,0.0001126542,0.00006406229,0.00007420138,0.9951807,0.0002437808,0.00252715],"genre_scores_gemma":[0.002911957,0.0007202428,0.0004541925,0.0003470579,0.0000492476,0.0003223679,0.9930924,0.00005679668,0.002045635],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06772567,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272879721683242,"score_gpt":0.3906118171066068,"score_spread":0.3778830198897744,"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."}}