{"id":"W4250269073","doi":"10.1515/iupac.88.1417","title":"Thrombocytopenia","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Agricultural safety and regulations","field":"Agricultural and Biological Sciences","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002232613,0.0003585888,0.0005320759,0.00001111853,0.0008977822,0.000188903,0.0008950481,0.0004789737,0.006985478],"category_scores_gemma":[0.0001538741,0.0001037758,0.0002536164,0.0001268903,0.0001682894,0.0001511117,0.0002592456,0.0004195386,0.00001627581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001171779,"about_ca_system_score_gemma":0.00006370216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007367865,"about_ca_topic_score_gemma":0.01738376,"domain_scores_codex":[0.998107,0.00005980528,0.0003117103,0.0004498292,0.0007027743,0.000368897],"domain_scores_gemma":[0.9988859,0.00008475901,0.0003408482,0.0002369972,0.0002871833,0.0001642884],"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":[0.00002443673,0.0001047831,0.00001104004,0.000012462,0.00003675556,0.00001695733,0.000002459338,0.000001028882,0.0002076773,0.000006243245,0.9894144,0.01016175],"study_design_scores_gemma":[0.0001280342,0.0001519325,0.01543929,0.0001032811,0.00007334912,0.00001631793,0.00002409841,0.000001040513,0.000009879572,0.0001562803,0.9835194,0.0003770613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001832917,0.0004189963,6.366167e-7,0.003180868,0.0005316311,0.0002778879,0.9935798,0.00006752236,0.000109722],"genre_scores_gemma":[0.0005659946,0.0006146661,0.00001022513,0.0001591513,0.001950703,0.000009425705,0.9953284,0.000001124367,0.001360269],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01664697,"threshold_uncertainty_score":0.9939223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02434972407071015,"score_gpt":0.384873495274601,"score_spread":0.3605237712038908,"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."}}