{"id":"W4394482230","doi":"10.6084/m9.figshare.22616084","title":"Additional file 5 of Can biomarkers identified from the uterine fluid transcriptome be used to establish a noninvasive endometrial receptivity prediction tool? A proof-of-concept study","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Reproductive System and Pregnancy","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital","funders":"","keywords":"Proof of concept; Transcriptome; Computational biology; Computer science; Receptivity; Endometrium; Internal medicine; Biology; Medicine; Operating system; 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":[0.002086489,0.001880178,0.002054637,0.001699,0.001000047,0.002475867,0.002639913,0.002973491,0.3759285],"category_scores_gemma":[0.01660334,0.000665221,0.002275438,0.002047939,0.0004148722,0.001259656,0.001564217,0.001598372,0.09393105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232262,"about_ca_system_score_gemma":0.002689441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007838537,"about_ca_topic_score_gemma":0.01593786,"domain_scores_codex":[0.9990854,0.0001728035,0.0001127178,0.0003384671,0.0001747103,0.0001159391],"domain_scores_gemma":[0.9928504,0.00506515,0.0003651477,0.0006341477,0.0008330469,0.000252189],"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":[0.000893404,0.0001320092,0.003948654,0.008289792,0.0002578676,0.0001065866,0.00006710148,0.001035034,0.0007794296,0.0008113057,0.9766832,0.006995616],"study_design_scores_gemma":[0.008378702,0.00045595,0.02792858,0.005290672,0.0008547914,0.0005527677,0.0002678928,0.003495725,0.002342877,0.008951519,0.9412733,0.0002072728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001159775,0.0000463106,0.000109562,0.00005981337,0.0000179404,0.00002729083,0.9993042,0.000144799,0.0001740915],"genre_scores_gemma":[0.001272684,0.00008164695,0.001013439,0.0002110205,0.00001868319,0.0005021441,0.9958222,0.0001094782,0.0009686777],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3759285,"threshold_uncertainty_score":0.8901622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05243669724334859,"score_gpt":0.2734214792266838,"score_spread":0.2209847819833352,"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."}}