{"id":"W3028636037","doi":"10.1093/biolre/ioaa089","title":"Patients who failed to conceive following an in vitro fertilization cycle can be clustered into different failure causes using gene expression hierarchical analysis†","year":2020,"lang":"en","type":"article","venue":"Biology of Reproduction","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Fertility Centre; Quebec - Clinical Research Organization in Cancer; Université Laval","funders":"","keywords":"Biology; Follicular phase; Gene expression; Andrology; Population; In vitro fertilisation; Follicle; Gene; Hierarchical clustering; Pregnancy; Bioinformatics; Endocrinology; Cluster analysis; Genetics; Medicine","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":[0.0006419699,0.0002865632,0.0003868618,0.001332238,0.0004508918,0.0005632027,0.0002131329,0.0002516626,0.001233505],"category_scores_gemma":[0.00108395,0.0001253148,0.0004998975,0.001175956,0.0003444755,0.0001946327,0.0004031924,0.0003727048,0.000282097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003394517,"about_ca_system_score_gemma":0.0003033604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001906252,"about_ca_topic_score_gemma":0.002599134,"domain_scores_codex":[0.9994598,0.000140801,0.00004802315,0.0001249655,0.0001096979,0.0001167314],"domain_scores_gemma":[0.9994246,0.0002076531,0.0001663463,0.00006818759,0.0000728382,0.00006050374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009130881,0.0001382567,0.8306856,0.0002034365,0.0003901482,0.0008274576,0.0009171493,0.0009551548,0.110802,0.0003968911,0.0009752199,0.0527955],"study_design_scores_gemma":[0.0000109121,0.0002185146,0.9878727,0.00001678662,0.00008674223,0.0007055984,0.0005190051,0.003346546,0.005458473,0.0004693887,0.001273872,0.00002159222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889712,0.0007723987,0.008275158,0.0001400457,0.00001873274,0.0001122653,0.0006968397,0.00007307,0.0009402502],"genre_scores_gemma":[0.9922955,0.0001727792,0.006164731,0.00005656614,0.00001104401,0.00008393094,0.0008596811,0.00001682685,0.0003388732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001906252,"threshold_uncertainty_score":0.004126549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03473591561729429,"score_gpt":0.3108250269378016,"score_spread":0.2760891113205073,"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."}}