{"id":"W4231954644","doi":"10.21203/rs.3.rs-38223/v2","title":"Cell-specific Characterization of the Placental Methylome","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"National Institutes of Health; Hospital for Sick Children; BC Children's Hospital","keywords":"DNA methylation; Computational biology; Characterization (materials science); Cell; Biology; Computer science; Cell biology; Genetics; Gene; Gene expression; Nanotechnology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001863707,0.000265141,0.0002635439,0.0006848495,0.0002483054,0.0005164143,0.0003826049,0.00038218,0.003811951],"category_scores_gemma":[0.0003881333,0.0002207808,0.0003755204,0.0004494413,0.0002815097,0.0003191561,0.0005721851,0.0009046816,0.001352726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002902948,"about_ca_system_score_gemma":0.0002420278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001913901,"about_ca_topic_score_gemma":0.003053404,"domain_scores_codex":[0.9999009,0.00001218994,0.000005314158,0.0000359498,0.00002338767,0.00002222997],"domain_scores_gemma":[0.9998181,0.00006291944,0.00001740342,0.00004733018,0.00002419537,0.00002999966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007089428,0.000003275912,0.0004413303,0.00002993459,0.000007491189,0.00007149366,0.00003137738,0.00002411396,0.9971142,0.0002505829,0.00004307356,0.001912301],"study_design_scores_gemma":[0.00001639361,0.00008905518,0.04165058,0.00001906586,0.00005322771,0.0009250005,0.0001409746,0.0006265364,0.941718,0.0005804525,0.01416871,0.00001211075],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8819795,0.01501377,0.06554524,0.0008191237,0.0001913342,0.0001801666,0.01180695,0.0004424072,0.02402144],"genre_scores_gemma":[0.9570005,0.004651896,0.01391538,0.0002528661,0.00005163939,0.0001085996,0.008881142,0.0002368653,0.01490112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003811951,"threshold_uncertainty_score":0.01275223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05618971347863152,"score_gpt":0.3514869840573854,"score_spread":0.2952972705787539,"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."}}