{"id":"W4393475756","doi":"10.5281/zenodo.6592319","title":"Data in support of \"An exploration of linkage fine-mapping on sequences from case-control studies\"","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Linkage (software); Computer science; Computational biology; Biology; Genetics; 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":[],"consensus_categories":[],"category_scores_codex":[0.005446324,0.00210599,0.002351502,0.004890819,0.001125091,0.002502974,0.003193817,0.002902803,0.07889289],"category_scores_gemma":[0.02869043,0.0009978299,0.002254116,0.007936808,0.0007196174,0.001091786,0.002391366,0.002219296,0.03487513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326087,"about_ca_system_score_gemma":0.003126554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009306679,"about_ca_topic_score_gemma":0.02245113,"domain_scores_codex":[0.9957985,0.001169634,0.0006903001,0.001312197,0.0006466724,0.0003826151],"domain_scores_gemma":[0.9864266,0.008275508,0.00139419,0.002434012,0.0008663396,0.0006034463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008179471,0.0001003037,0.01103136,0.01152416,0.0009648211,0.0004287785,0.0002214,0.001817333,0.001595411,0.002753243,0.9603099,0.00843556],"study_design_scores_gemma":[0.001945159,0.00009271645,0.0213844,0.002224362,0.0007965572,0.0006138814,0.0001756056,0.001297981,0.001814422,0.005667468,0.9638928,0.00009474558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006873686,0.0001828599,0.0003182498,0.00007609786,0.00002588146,0.00002351416,0.99786,0.0003065867,0.0005194303],"genre_scores_gemma":[0.002280793,0.0001431744,0.001457568,0.0001082341,0.00001214376,0.0002628365,0.994894,0.0002218921,0.0006192778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07889289,"threshold_uncertainty_score":0.263923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1102491934879119,"score_gpt":0.3280649434160242,"score_spread":0.2178157499281123,"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."}}