{"id":"W4236075452","doi":"10.1515/iupac.88.1501","title":"Williams Syndrome","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Biotechnology and Related Fields","field":"Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008599951,0.00123841,0.001362442,0.004264618,0.00067064,0.001776909,0.001486137,0.001205945,0.09916835],"category_scores_gemma":[0.01073381,0.0004095595,0.00110151,0.006987068,0.0002980712,0.001749142,0.00162991,0.001295841,0.05032513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006898837,"about_ca_system_score_gemma":0.001725017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009523039,"about_ca_topic_score_gemma":0.017969,"domain_scores_codex":[0.998713,0.0001796665,0.0004056521,0.0003868647,0.0002019561,0.0001128653],"domain_scores_gemma":[0.9971941,0.001016599,0.000529864,0.0005303745,0.0005500637,0.0001791141],"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":[0.000358573,0.00002584793,0.00857899,0.00263618,0.0001862858,0.0005230217,0.00007604899,0.0002236138,0.0001784366,0.002172052,0.9480279,0.03701307],"study_design_scores_gemma":[0.0002679249,0.00003145191,0.02591542,0.003467259,0.0001470711,0.002363028,0.0001778105,0.0002133649,0.0002500039,0.005617043,0.9614881,0.00006150366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001316945,0.001592744,0.0004819098,0.0004162205,0.0001590148,0.00008158087,0.9878784,0.0002265424,0.007846596],"genre_scores_gemma":[0.003786003,0.002071181,0.001032315,0.0005439157,0.0000657437,0.0003038636,0.9883033,0.0001105815,0.003783172],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09916835,"threshold_uncertainty_score":0.3317512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132441470034753,"score_gpt":0.4144135866374851,"score_spread":0.4011694396340098,"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."}}