{"id":"W4394222407","doi":"10.6084/m9.figshare.22807697","title":"Additional file 2 of Capturing sex-specific and hypofertility-linked effects of assisted reproductive technologies on the cord blood DNA methylome","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Sherbrooke; Centre Hospitalier Universitaire Sainte-Justine; McGill Genome Centre; National Research Council Canada; University of Ottawa; Université de Montréal; McGill University Health Centre","funders":"","keywords":"DNA methylation; Biology; Cord blood; Computational biology; DNA; Genetics; Bioinformatics; Gene; Gene expression","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001200764,0.001268914,0.001605124,0.001817431,0.0007372041,0.001833698,0.001968525,0.001804726,0.5108428],"category_scores_gemma":[0.01488769,0.0006063328,0.001460172,0.003503638,0.0003146551,0.001032269,0.001156111,0.001308446,0.07541765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063335,"about_ca_system_score_gemma":0.002044126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01381949,"about_ca_topic_score_gemma":0.02548512,"domain_scores_codex":[0.9993062,0.0001128266,0.0001085849,0.0002581036,0.0001078272,0.000106434],"domain_scores_gemma":[0.9925894,0.00529649,0.0005011217,0.0005568279,0.0007891281,0.0002670765],"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":[0.0003481297,0.00006545537,0.004507193,0.003649045,0.0001477805,0.0000731107,0.00004927279,0.0006251411,0.0001562843,0.0006119809,0.9852479,0.004518775],"study_design_scores_gemma":[0.005939901,0.0002272382,0.04083611,0.003356704,0.0005753977,0.000540763,0.0002422347,0.001667554,0.0009650086,0.007686159,0.9378369,0.0001259585],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007348245,0.00001613947,0.00003447527,0.00002235323,0.000004393358,0.00001021982,0.9996599,0.0000412406,0.0001377891],"genre_scores_gemma":[0.001952834,0.00006780487,0.0005385434,0.0001512196,0.00001624653,0.0003671955,0.9953441,0.0001175222,0.001444427],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5108428,"threshold_uncertainty_score":0.6977234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04673149107646179,"score_gpt":0.2620809489933843,"score_spread":0.2153494579169225,"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."}}