{"id":"W2903311129","doi":"10.1016/j.ejmg.2018.11.029","title":"Views from the clinic: Healthcare provider perspectives on whole genome sequencing in paediatrics","year":2018,"lang":"en","type":"article","venue":"European Journal of Medical Genetics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; Hospital for Sick Children; Public Health Ontario; SickKids Foundation; University of Toronto; St. Michael's Hospital","funders":"Banting and Best Diabetes Centre, University of Toronto; Hospital for Sick Children; University of Toronto","keywords":"Health care; Context (archaeology); Genetic testing; Medical genetics; Genetic counseling; Medicine; Qualitative research; Nursing; Psychology; Medical education; Genetics; Biology; Sociology; Political science","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":[0.001496028,0.0001347454,0.000170221,0.00004138599,0.00007780689,0.00003446125,0.0006352154,0.00007494669,0.00007588439],"category_scores_gemma":[0.0006448107,0.00008729812,0.0001313595,0.00009142618,0.000183433,0.000002250404,0.0001621236,0.0003449801,0.00005338295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000044736,"about_ca_system_score_gemma":0.0005579308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000955728,"about_ca_topic_score_gemma":0.00004198225,"domain_scores_codex":[0.9979442,0.0006009702,0.0005485069,0.0002298423,0.0004615162,0.0002150144],"domain_scores_gemma":[0.9989294,0.00005790549,0.000260585,0.0003003382,0.0001969658,0.0002547894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003920856,0.002499721,0.06983815,0.0002814,0.001518368,0.008001313,0.0641695,0.001266887,0.2400778,0.0003068072,0.148248,0.4598712],"study_design_scores_gemma":[0.00331769,0.005393254,0.07984553,0.0002793909,0.00009687396,0.0002034228,0.01252009,0.0001626193,0.00175811,0.0002382172,0.8956227,0.0005621038],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734372,0.02046411,0.0004955162,0.004390796,0.0004398298,0.0001100905,0.00003698911,0.000002647151,0.0006227487],"genre_scores_gemma":[0.9845895,0.00677819,0.0006659099,0.003120173,0.004720815,6.551272e-7,0.00001674874,0.00003177925,0.00007618222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7473747,"threshold_uncertainty_score":0.3559914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03754605487281231,"score_gpt":0.3049181394418291,"score_spread":0.2673720845690167,"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."}}