{"id":"W2181456117","doi":"10.1093/jamia/ocv053","title":"Dynamic software design for clinical exome and genome analyses: insights from bioinformaticians, clinical geneticists, and genetic counselors","year":2015,"lang":"en","type":"article","venue":"Journal of the American Medical Informatics Association","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of Victoria; Child and Family Research Institute; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Genome British Columbia; Genome Canada","keywords":"Computer science; Software; Personalization; Graphical user interface; User interface; Flexibility (engineering); Data science; Human–computer interaction; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001476163,0.0001545646,0.0004866483,0.00006069343,0.00009640931,0.00007192978,0.0003327353,0.0001891557,0.000001616032],"category_scores_gemma":[0.004648848,0.0001032575,0.0002198174,0.0001080477,0.0002831835,0.00001936302,0.0001351067,0.0002072619,0.000001484433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006994261,"about_ca_system_score_gemma":0.0005567136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009773661,"about_ca_topic_score_gemma":0.00001244271,"domain_scores_codex":[0.9973688,0.0002616814,0.001519528,0.000105782,0.0005499373,0.0001943411],"domain_scores_gemma":[0.9961863,0.0004787072,0.002270207,0.0002071388,0.0004104195,0.0004472038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004606384,0.001936562,0.5829055,0.0004684953,0.01169043,0.00008227181,0.009669636,0.00686248,0.004226452,0.00003938209,0.07982096,0.2976915],"study_design_scores_gemma":[0.009901032,0.005972529,0.8451155,0.0002089503,0.001873584,0.0002678531,0.006099767,0.08944646,0.0001716399,0.003686239,0.03615282,0.001103558],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370931,0.001761405,0.06020828,0.0003145049,0.0003574199,0.000208455,0.00004592703,0.000003879686,0.000007061137],"genre_scores_gemma":[0.896524,0.01295591,0.0860064,0.003869404,0.0005281076,0.000007645618,0.00005260898,0.00002578438,0.00003012508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2965879,"threshold_uncertainty_score":0.5565442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04298208883625083,"score_gpt":0.3653914862449744,"score_spread":0.3224093974087235,"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."}}