{"id":"W4231289770","doi":"10.1515/iupac.88.1504","title":"X-Linked","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","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; Data mining; Philosophy","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":[0.00160972,0.001847996,0.001627874,0.005365639,0.001217025,0.004340999,0.002510706,0.002506508,0.2603346],"category_scores_gemma":[0.01788155,0.0008220251,0.001669248,0.008885122,0.0005351576,0.003841473,0.00338731,0.002226213,0.2602956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616216,"about_ca_system_score_gemma":0.003917738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01373903,"about_ca_topic_score_gemma":0.02385141,"domain_scores_codex":[0.9980247,0.0003503773,0.0003821975,0.0006776496,0.0003499123,0.0002152157],"domain_scores_gemma":[0.9940907,0.002209142,0.0005826641,0.001309552,0.001467821,0.0003400819],"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":[0.00009021874,0.00001287344,0.0007804104,0.002113038,0.00003350478,0.00002627314,0.00003259598,0.0001318752,0.0001065323,0.001051676,0.9908007,0.00482037],"study_design_scores_gemma":[0.00009327514,0.000009640038,0.001484526,0.0007601331,0.00002018987,0.00003970944,0.00005580358,0.0001049019,0.0001360685,0.001816458,0.9954594,0.00001984704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005087502,0.0001094098,0.00009875369,0.000107204,0.00003731525,0.00002125498,0.9977762,0.000339636,0.001459346],"genre_scores_gemma":[0.0002995774,0.0002088025,0.0005617845,0.0002074273,0.00001849084,0.00014996,0.9969325,0.0001631709,0.001458341],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2603346,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092149432673475,"score_gpt":0.426955238613428,"score_spread":0.4060337442866933,"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."}}