{"id":"W4200364457","doi":"10.1016/j.gim.2021.11.023","title":"Correspondence on “Ensuring best practice in genomics education and evaluation: Reporting item standards for education and its evaluation in genomics (RISE2 Genomics)” by Nisselle et al","year":2021,"lang":"en","type":"letter","venue":"Genetics in Medicine","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"National Institutes of Health","keywords":"Genomics; Personal genomics; Computational biology; Medicine; Data science; Genetics; Computer science; Biology; Genome; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02538246,0.001232792,0.001836125,0.001299189,0.01230173,0.008666771,0.003457757,0.1074461,0.01530967],"category_scores_gemma":[0.09684395,0.001867378,0.002259058,0.00135941,0.005109081,0.005837866,0.004124362,0.05898322,0.008925355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01010593,"about_ca_system_score_gemma":0.02142897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0196513,"about_ca_topic_score_gemma":0.04042619,"domain_scores_codex":[0.9710974,0.01119911,0.003053849,0.002814041,0.007536791,0.004298868],"domain_scores_gemma":[0.9279308,0.0478387,0.003139369,0.001418475,0.01086583,0.008806854],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003392914,0.0000301663,0.0003063955,0.00004641993,0.000008021642,0.0006668699,0.0003869038,0.00003681236,0.0001480303,0.002081043,0.9925925,0.003662863],"study_design_scores_gemma":[0.0001372369,0.00007372514,0.001715207,0.0005526607,0.0000273652,0.0008014244,0.001622933,0.0006755303,0.0003356052,0.007997188,0.9859647,0.00009641262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002385453,0.0002213556,0.0001801528,0.9841246,0.01253256,0.00004531103,0.00004257718,0.00002701847,0.002587954],"genre_scores_gemma":[0.001322924,0.0001338643,0.0002946908,0.980771,0.009332294,0.0001125327,0.00001735454,0.00002620671,0.007989206],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9746175,"threshold_uncertainty_score":0.1342369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.190929632434404,"score_gpt":0.5435967750030615,"score_spread":0.3526671425686574,"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."}}