{"id":"W3201202195","doi":"10.1002/mgg3.1784","title":"Far and wide: Exploring provider utilization of remote service provision for genome‐wide sequencing in Canada","year":2021,"lang":"en","type":"article","venue":"Molecular Genetics & Genomic Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; Centre for Advancing Health Outcomes; Women's Health Research Institute; University of British Columbia; McGill University","funders":"Provincial Health Services Authority; Genome British Columbia; BC Children's Hospital; Children's Hospital Foundation; Canadian Institutes of Health Research; Genome Canada; McGill University","keywords":"Service provider; Business; Service (business); Data science; Internet privacy; Computer science; Marketing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001757822,0.0002037033,0.000286473,0.0000641432,0.00004269749,0.000009088306,0.0001497739,0.00007622707,0.000007823406],"category_scores_gemma":[0.0002336094,0.0002076566,0.00004128268,0.0001530577,0.00003950755,0.0000033439,0.0001564427,0.0000608296,2.653362e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000172065,"about_ca_system_score_gemma":0.001854928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03910891,"about_ca_topic_score_gemma":0.1754469,"domain_scores_codex":[0.9985369,0.00005578299,0.0004621506,0.0004902968,0.0001680842,0.0002867708],"domain_scores_gemma":[0.999016,0.00002811883,0.0001451696,0.0004031667,0.0002713978,0.0001361051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005527729,0.00001063777,0.003245123,0.0002889569,0.00004427009,0.00005690689,0.0002556964,0.004050725,0.9855255,0.00001767788,0.00003392526,0.006415319],"study_design_scores_gemma":[0.003854188,0.0005052452,0.0461415,0.0003740392,0.000211835,0.00009535783,0.00320682,0.01399304,0.8762313,0.0005607241,0.05399409,0.0008318584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688754,0.01743402,0.01263196,0.0003929815,0.0001186632,0.0004710984,0.00003099501,0.000003465934,0.00004142387],"genre_scores_gemma":[0.9904963,0.003172933,0.004264656,0.001524606,0.0000667893,0.00002402747,0.0003675397,0.00004785321,0.00003524819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.136338,"threshold_uncertainty_score":0.9672897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03347570976095746,"score_gpt":0.2495081265138102,"score_spread":0.2160324167528527,"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."}}