{"id":"W4387981716","doi":"10.1183/13993003.congress-2023.pa2913","title":"HHT Virtual Imaging Case Conferences - A New Way Forward for Rare Disease Management","year":2023,"lang":"en","type":"article","venue":"","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Medicine; Outreach; Medical imaging; Legislation; Telehealth; Session (web analytics); Medical education; Health care; Medical emergency; Telemedicine; Business; Political science; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02819449,0.0007833962,0.0003837484,0.003033474,0.00610688,0.01134441,0.006187791,0.003951586,0.03528807],"category_scores_gemma":[0.04198717,0.0007944533,0.001190249,0.001394497,0.005364955,0.01204276,0.02111338,0.008027426,0.007199051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00841815,"about_ca_system_score_gemma":0.02628913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01661552,"about_ca_topic_score_gemma":0.05686538,"domain_scores_codex":[0.980032,0.01276987,0.0009727143,0.001024787,0.00366036,0.001540288],"domain_scores_gemma":[0.9105096,0.02113792,0.005495683,0.007697634,0.01006219,0.04509697],"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":[0.0001872848,0.0004225243,0.01098588,0.001010705,0.0000631757,0.003686567,0.01297639,0.001264007,0.001674639,0.0243964,0.4852672,0.4580653],"study_design_scores_gemma":[0.0000810144,0.0001835825,0.008718504,0.002692992,0.00002647438,0.003860982,0.01829619,0.001261107,0.0006005303,0.0290226,0.9351249,0.0001312269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04329724,0.01985447,0.1249258,0.600505,0.01669834,0.002317898,0.001101931,0.007646302,0.183653],"genre_scores_gemma":[0.3283954,0.02298338,0.4756021,0.1045683,0.01481679,0.002262649,0.003220236,0.002525226,0.04562601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03528807,"threshold_uncertainty_score":0.1491085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255661782939418,"score_gpt":0.2595219411204667,"score_spread":0.2469653232910725,"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."}}