{"id":"W2987683038","doi":"10.1007/s12687-019-00442-7","title":"Determining accurate costs for genomic sequencing technologies—a necessary prerequisite","year":2019,"lang":"en","type":"article","venue":"Journal of Community Genetics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"Hospital for Sick Children; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Activity-based costing; Workflow; Health economics; Public health; Quality of Life Research; Autism spectrum disorder; Human genetics; Medicine; Data science; Computer science; Business; Autism; Biology; Genetics; Nursing; Gene; Psychiatry; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02390051,0.001985781,0.002315475,0.002815507,0.001380368,0.00481407,0.004300882,0.004561766,0.01212822],"category_scores_gemma":[0.1081909,0.001805569,0.001183702,0.002460742,0.002426691,0.007777834,0.002423118,0.007792763,0.01155824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002423067,"about_ca_system_score_gemma":0.00575161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003689048,"about_ca_topic_score_gemma":0.003924713,"domain_scores_codex":[0.9803855,0.005563393,0.001636786,0.002551858,0.008915689,0.0009466543],"domain_scores_gemma":[0.8391342,0.09883506,0.005669257,0.02145621,0.03259118,0.002314116],"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":[0.001703691,0.0007932076,0.01875597,0.003274583,0.0003702524,0.001109157,0.0008983955,0.01806026,0.3843563,0.1150144,0.04472351,0.4109403],"study_design_scores_gemma":[0.000178426,0.00162779,0.02167448,0.001464874,0.0004810189,0.004055125,0.001707728,0.05202169,0.3689993,0.1741709,0.3731666,0.0004521091],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03330779,0.01517293,0.8908209,0.02526379,0.003386169,0.001242939,0.003799824,0.003646728,0.02335897],"genre_scores_gemma":[0.1282309,0.006901926,0.8470385,0.003421883,0.001507565,0.001443839,0.0038795,0.001265849,0.006310023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02390051,"threshold_uncertainty_score":0.1263995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596542198714917,"score_gpt":0.2875798242705962,"score_spread":0.261614402283447,"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."}}