{"id":"W6931497133","doi":"10.5281/zenodo.7437886","title":"zx0223winner/HSDecipher: HSDecipher","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Inflammatory Myopathies and Dermatomyositis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Pipeline (software); Downstream (manufacturing); Table (database); Terminal (telecommunication)","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":[0.00155744,0.002828744,0.002128324,0.003254995,0.001459217,0.002429697,0.002526007,0.001368665,0.08758415],"category_scores_gemma":[0.002561012,0.001522424,0.002339743,0.001998957,0.0005325693,0.001681619,0.002672682,0.002021258,0.07271423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008801377,"about_ca_system_score_gemma":0.002112125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00235878,"about_ca_topic_score_gemma":0.004280102,"domain_scores_codex":[0.9990137,0.00008981081,0.00007139811,0.0004483891,0.0002340929,0.0001425843],"domain_scores_gemma":[0.9993462,0.0002360396,0.00007801298,0.0001386632,0.0001205844,0.00008052279],"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":[0.002404324,0.0001107969,0.005493646,0.004729672,0.0005540455,0.000916653,0.0006076961,0.002472006,0.08092064,0.009430934,0.79816,0.09419954],"study_design_scores_gemma":[0.0009755692,0.000191226,0.01126225,0.0003866549,0.0004483993,0.00147338,0.000212343,0.01336445,0.1105208,0.01836583,0.842458,0.0003410658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.008211007,0.001446562,0.1141963,0.0004798499,0.000478623,0.0003681817,0.5854365,0.2770238,0.01235928],"genre_scores_gemma":[0.02711464,0.0008599338,0.1500559,0.001061498,0.0001409179,0.001436191,0.7346288,0.06682304,0.01787907],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.08758415,"threshold_uncertainty_score":0.2929981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086938339605042,"score_gpt":0.2430298794275629,"score_spread":0.2221604960315124,"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."}}