{"id":"W6920911634","doi":"10.6084/m9.figshare.29566448","title":"Additional file 1 of Communicating clearly about data sharing in genomics","year":2025,"lang":"en","type":"article","venue":"Open MIND","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Terry Fox Research Institute; McGill University","funders":"","keywords":"Data sharing; Genomics; File sharing; Context (archaeology); Metadata","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006710048,0.001373622,0.001783216,0.004555376,0.001289521,0.002822273,0.002584295,0.002366906,0.9100112],"category_scores_gemma":[0.06365017,0.001274994,0.001141213,0.005436975,0.0008107028,0.003255571,0.003013224,0.002137701,0.4205678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002070316,"about_ca_system_score_gemma":0.003857602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005702064,"about_ca_topic_score_gemma":0.01145257,"domain_scores_codex":[0.9972355,0.0008498557,0.0004202123,0.0005538022,0.000605709,0.0003349518],"domain_scores_gemma":[0.9071681,0.07763105,0.002103501,0.004882039,0.005920543,0.002294785],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001451767,0.0000612267,0.0004135588,0.001612325,0.00002600299,0.00003553462,0.00006229601,0.0002606465,0.0001562075,0.001961629,0.9892245,0.006040892],"study_design_scores_gemma":[0.001497803,0.00007947171,0.004771731,0.001572725,0.00007753331,0.0002092755,0.0002406516,0.001047476,0.001032861,0.02938975,0.9599395,0.0001411454],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001143158,0.00003790853,0.002293243,0.0003144294,0.0001355551,0.0001675493,0.9897586,0.002346462,0.004831959],"genre_scores_gemma":[0.006167366,0.0002415403,0.02427641,0.002868932,0.000314362,0.003056989,0.9373127,0.009611228,0.01615047],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9932899,"threshold_uncertainty_score":0.1283581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0689461430286709,"score_gpt":0.3559916166194415,"score_spread":0.2870454735907706,"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."}}