{"id":"W2551226618","doi":"10.1016/j.cell.2016.11.015","title":"SnapShot: Epigenomic Assays","year":2016,"lang":"en","type":"article","venue":"Cell","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"","keywords":"Biology; Snapshot (computer storage); Epigenomics; Computational biology; Genetics; Database; DNA methylation","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":[0.001055924,0.001191908,0.0007699963,0.001684002,0.0005607586,0.00148829,0.0007958092,0.0009344741,0.01486431],"category_scores_gemma":[0.001641745,0.0008889938,0.0005160646,0.001266245,0.0003720845,0.0007235621,0.001208863,0.00205247,0.006576525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003178395,"about_ca_system_score_gemma":0.0004795033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005478953,"about_ca_topic_score_gemma":0.002078578,"domain_scores_codex":[0.9988973,0.0001761655,0.00006919501,0.0003329022,0.0003950496,0.0001292558],"domain_scores_gemma":[0.998989,0.0002702564,0.00007897032,0.0002891321,0.0002359278,0.0001366359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001015292,0.0001948618,0.009184267,0.0006068629,0.0003173623,0.000296946,0.0002651303,0.00182974,0.8471416,0.006628956,0.04097976,0.09153916],"study_design_scores_gemma":[0.00007320761,0.0003794267,0.01233574,0.00004817143,0.0002099121,0.0006028821,0.0000974674,0.007551156,0.8593042,0.004710246,0.1145832,0.0001044699],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1349951,0.004389686,0.678188,0.001109768,0.001654709,0.0008997092,0.1102064,0.02787331,0.0406832],"genre_scores_gemma":[0.2952367,0.004625939,0.513625,0.001584243,0.0005456446,0.003145508,0.1055044,0.00405794,0.07167465],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01486431,"threshold_uncertainty_score":0.04972613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008646592771370481,"score_gpt":0.2238468180260063,"score_spread":0.2152002252546358,"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."}}