{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004584512,0.0001491151,0.0002231807,0.00008626957,0.0001514175,0.00005085987,0.0007019763,0.0001562137,0.000004826425],"category_scores_gemma":[0.0001256756,0.0001378232,0.0001725809,0.00005735333,0.00005278753,0.000007834133,0.0003150532,0.0002911339,0.000003537216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006121949,"about_ca_system_score_gemma":0.0002340046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003350362,"about_ca_topic_score_gemma":0.000009639642,"domain_scores_codex":[0.9990838,0.0001167492,0.0003864738,0.00008777056,0.0001012958,0.0002239058],"domain_scores_gemma":[0.9986423,0.00006999828,0.0004074966,0.0005334397,0.0002798262,0.00006692689],"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":[0.0001487721,0.00006711031,0.00941512,0.0000781976,0.0001382258,0.000006122781,0.0001805203,0.002279094,0.9733773,0.00001536352,0.0007359838,0.01355819],"study_design_scores_gemma":[0.006981213,0.008501169,0.04084537,0.0004105899,0.0004535407,0.001343156,0.0182685,0.002740661,0.8435568,0.003002858,0.07231139,0.001584734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951364,0.002549133,0.001481421,0.00009308192,0.0002603072,0.0002043805,0.00003089608,0.000008839249,0.0002355863],"genre_scores_gemma":[0.9947393,0.0008885036,0.003914759,0.0002126992,0.0001086577,0.000003483866,0.00002871604,0.00002856068,0.00007534202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1298205,"threshold_uncertainty_score":0.5620267,"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."}}