{"id":"W6945188067","doi":"10.24433/co.9231867.v1","title":"Clustering of genomic REgions Analysis Method (CREAM)","year":2019,"lang":"en","type":"other","venue":"Code Ocean","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"CTCF; Enhancer; Chromatin; Cluster analysis; Gene; Transcription factor; Transcription (linguistics); Cohesin","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004125698,0.0004013829,0.001174662,0.001846139,0.00002645498,0.00002268295,0.0006655813,0.0003563368,0.001789517],"category_scores_gemma":[0.00004450989,0.0004125241,0.0005909578,0.0009002401,0.00008265956,0.00002579621,0.0002523882,0.0002417323,0.004895093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001602129,"about_ca_system_score_gemma":0.00009135534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006190726,"about_ca_topic_score_gemma":0.001366798,"domain_scores_codex":[0.9980906,0.0002294232,0.0004002164,0.0006367533,0.0002898609,0.0003531355],"domain_scores_gemma":[0.9971942,0.00008597469,0.0007844552,0.001761361,0.00005924411,0.0001147658],"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":[0.00002430635,0.00006964303,0.0006771969,0.0002008456,0.004571502,0.000007881131,0.0001921193,0.003167636,0.001146469,0.0002962202,0.9893633,0.0002828713],"study_design_scores_gemma":[0.0004415399,0.00003311703,0.0003984643,0.0001647201,0.004862629,0.000006289941,0.00006766668,0.01500299,0.00008315933,0.00004220658,0.9783322,0.0005650675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005332844,0.0009444612,0.05499205,0.0000334555,0.0001927795,0.0004386082,0.001606903,0.000414075,0.9413244],"genre_scores_gemma":[0.001432602,0.00008009527,0.03409068,0.00002993506,0.0002010325,0.000002760494,0.0003158725,0.001788996,0.962058],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02090137,"threshold_uncertainty_score":0.9998327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03483406117848079,"score_gpt":0.3158663122600585,"score_spread":0.2810322510815777,"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."}}