{"id":"W1829972343","doi":"10.1007/s10815-015-0592-1","title":"Lipidomics analysis of follicular fluid by ESI-MS reveals potential biomarkers for ovarian endometriosis","year":2015,"lang":"en","type":"article","venue":"Journal of Assisted Reproduction and Genetics","topic":"Endometriosis Research and Treatment","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Endometriosis; Lipidomics; Follicular fluid; In vitro fertilisation; Infertility; Biomarker; Andrology; Follicular phase; Internal medicine; Medicine; Biology; Bioinformatics; Pregnancy; Embryo; Oocyte; Biochemistry","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":[0.0004120494,0.0004426215,0.000285742,0.001243848,0.0003105531,0.0006899919,0.0001883745,0.0006030592,0.000989148],"category_scores_gemma":[0.0008608691,0.0001851482,0.0003089059,0.0005579043,0.0002547479,0.0003458465,0.0004552784,0.0004310084,0.0002952942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001838964,"about_ca_system_score_gemma":0.0003102476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006954054,"about_ca_topic_score_gemma":0.0007461321,"domain_scores_codex":[0.9998011,0.00004229287,0.00001738345,0.00004341486,0.00005228692,0.00004348912],"domain_scores_gemma":[0.9998133,0.00005939994,0.00004366785,0.000009791064,0.00004198931,0.00003195865],"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":[0.002049179,0.0001186957,0.05803583,0.0001443909,0.0001537093,0.0008496878,0.0001900647,0.0001421746,0.915324,0.0002200592,0.0003501289,0.02242196],"study_design_scores_gemma":[0.0002728811,0.001816018,0.3520001,0.0001892252,0.0005404417,0.006258356,0.001209409,0.006502999,0.6206383,0.002471081,0.007985562,0.0001156115],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881902,0.0052075,0.003788593,0.000543405,0.00007477425,0.00006013978,0.0007882555,0.00006248803,0.001284644],"genre_scores_gemma":[0.9929132,0.001704003,0.003646195,0.0003391573,0.00005730974,0.00004560907,0.0003808118,0.00001134022,0.0009024476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001243848,"threshold_uncertainty_score":0.003309011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03601023822651333,"score_gpt":0.3206623555465649,"score_spread":0.2846521173200515,"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."}}