{"id":"W6902190169","doi":"10.6084/m9.figshare.22604984","title":"Additional file 1 of Mitochondrial diseases in Hong Kong: prevalence, clinical characteristics and genetic landscape","year":2023,"lang":"en","type":"article","venue":"Open MIND","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Table (database); Disease; Life table; Sudden death; Genetic data","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008848319,0.0006952208,0.0008459142,0.001590617,0.0007876892,0.0007533628,0.001145761,0.0006023773,0.7034009],"category_scores_gemma":[0.01095191,0.0003272584,0.0004665798,0.004182369,0.0001976157,0.001139183,0.0006610759,0.0005465989,0.06454417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124237,"about_ca_system_score_gemma":0.002227727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02806923,"about_ca_topic_score_gemma":0.03141883,"domain_scores_codex":[0.9995965,0.0000550903,0.0001150296,0.0001062307,0.00005160021,0.00007553268],"domain_scores_gemma":[0.9940234,0.002519449,0.001093141,0.0005652423,0.001386022,0.0004127604],"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":[0.0003294734,0.0001155175,0.01891393,0.002157056,0.00004934591,0.0001761093,0.0001335163,0.0002055617,0.00007781294,0.0004418589,0.9675671,0.009832563],"study_design_scores_gemma":[0.003167066,0.0005018166,0.3681003,0.005692641,0.0003063899,0.002069764,0.00187136,0.001764573,0.0006438281,0.004586112,0.6110879,0.000208305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001049684,0.00002820007,0.00007662599,0.00009999204,0.00001785851,0.00007942526,0.9978696,0.00004305245,0.0007355491],"genre_scores_gemma":[0.02274001,0.0002685886,0.00104058,0.0004322818,0.0001099774,0.001400167,0.9652433,0.0001031323,0.008662006],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7034009,"threshold_uncertainty_score":0.4230626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820731928002508,"score_gpt":0.3052197200846904,"score_spread":0.2770124008046654,"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."}}