{"id":"W4229584321","doi":"10.1515/iupac.88.1503","title":"X Chromosome","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Gender Studies in Language","field":"Social 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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001338689,0.0003514408,0.0006131683,0.0001196885,0.00163223,0.0002433829,0.001652721,0.0004896293,0.005782517],"category_scores_gemma":[0.003352795,0.0003366674,0.0001905599,0.0001208552,0.001017244,0.0001263711,0.0004834693,0.0006222506,0.00001725301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000745076,"about_ca_system_score_gemma":0.001787613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005033306,"about_ca_topic_score_gemma":0.06491984,"domain_scores_codex":[0.9963791,0.0001914511,0.0003094456,0.000520226,0.001910147,0.000689569],"domain_scores_gemma":[0.9974547,0.0001006808,0.0003780482,0.001405487,0.0004416993,0.0002193712],"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":[0.00001148571,0.00008238952,0.000008036117,0.00005330273,0.00009680247,0.0001499414,0.000932432,1.673843e-7,2.413484e-7,0.000050916,0.9969566,0.001657643],"study_design_scores_gemma":[0.0002792256,0.00005225654,0.00003169884,0.0001107236,0.00009380716,0.000002292112,0.00134146,1.426983e-7,6.210564e-7,0.0002140661,0.9974943,0.0003793529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002468621,0.002158047,0.000007581458,0.001416266,0.003381774,0.0003286566,0.9873471,0.000101087,0.005234808],"genre_scores_gemma":[0.00006937446,0.002473745,0.00005861191,0.0002562869,0.003867512,0.00001700563,0.9901193,0.00002807782,0.003110128],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05988654,"threshold_uncertainty_score":0.9999085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03209970214562963,"score_gpt":0.4933279628359347,"score_spread":0.461228260690305,"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."}}