{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001069313,0.00007168545,0.00005344804,0.00001648689,0.00003189062,0.000007653202,0.000092732,0.00008161882,0.0001815546],"category_scores_gemma":[0.00002214659,0.0000512037,0.00004607363,0.00002210388,0.00002668045,0.000001057686,0.00004250083,0.00001905278,0.0001130232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000080971,"about_ca_system_score_gemma":0.00002524482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002634306,"about_ca_topic_score_gemma":0.000004658146,"domain_scores_codex":[0.9995027,0.00002455621,0.00009488798,0.0001866082,0.00005034164,0.000140941],"domain_scores_gemma":[0.9996375,0.000009413691,0.00003531715,0.0002355579,0.00002867833,0.00005356315],"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":[0.000007072118,0.00001481908,0.001953184,0.000002612873,0.000003933169,5.742706e-7,0.000006655041,0.000003918371,0.9930461,0.00002405702,0.001275072,0.003661993],"study_design_scores_gemma":[0.0002222428,0.00006578485,0.002176302,0.000002083997,0.000003444488,2.883925e-7,0.000002967667,0.000002326786,0.823083,0.0003215211,0.1740375,0.00008249424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571716,0.001433252,0.006616384,0.0001191172,0.0001671946,0.00006321674,0.00000891439,0.000006220045,0.03441412],"genre_scores_gemma":[0.9939659,0.0005081796,0.0004571512,0.00005841675,0.000205721,0.000005034963,0.00003738847,0.00001349123,0.004748707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1727625,"threshold_uncertainty_score":0.2088026,"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."}}