{"id":"W4394503857","doi":"10.6084/m9.figshare.22616078","title":"Additional file 3 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; Medicine; Biology; Gene; Genetics; Gene expression; Operating system","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":[0.002053679,0.001767971,0.001924149,0.001668912,0.0009968261,0.00244309,0.002392169,0.002604551,0.401919],"category_scores_gemma":[0.0178189,0.0005972207,0.002301254,0.001975944,0.0004300259,0.001183727,0.001568009,0.001549535,0.08503303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107027,"about_ca_system_score_gemma":0.002862017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006345105,"about_ca_topic_score_gemma":0.01370938,"domain_scores_codex":[0.999092,0.0001689807,0.0001075051,0.0003383767,0.0001763679,0.0001167593],"domain_scores_gemma":[0.9917818,0.006080355,0.0003821402,0.0006163121,0.0008612259,0.0002781409],"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":[0.0009837395,0.0001436741,0.004672633,0.009320332,0.0003053039,0.0001058627,0.00007421064,0.001017479,0.0008295997,0.0008682009,0.9742851,0.007393927],"study_design_scores_gemma":[0.01001554,0.0005422784,0.032085,0.005990951,0.001032547,0.000634497,0.0002959136,0.003768763,0.002723514,0.009951072,0.9327415,0.0002184652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001359645,0.0000517169,0.0001156284,0.00006443721,0.00002019777,0.00003023616,0.9992576,0.0001452393,0.0001789295],"genre_scores_gemma":[0.001827659,0.0001099342,0.00117651,0.0002843255,0.00002813623,0.0006803591,0.9945526,0.000132003,0.001208634],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.401919,"threshold_uncertainty_score":0.8530899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05242901214928092,"score_gpt":0.2732918732203799,"score_spread":0.220862861071099,"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."}}