{"id":"W4394448209","doi":"10.6084/m9.figshare.22616081","title":"Additional file 4 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; Receptivity; Computational biology; Computer science; Internal medicine; Biology; Medicine; Gene; Operating system; Gene expression; Genetics","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":[0.001944768,0.001838785,0.001930852,0.001622992,0.001016252,0.002282943,0.002536346,0.002554774,0.4206415],"category_scores_gemma":[0.01578068,0.0006038791,0.002244163,0.001947009,0.0004238886,0.001183479,0.001570901,0.00154609,0.08891778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127867,"about_ca_system_score_gemma":0.002892755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006976909,"about_ca_topic_score_gemma":0.01533816,"domain_scores_codex":[0.9991465,0.0001551347,0.0001001934,0.0003120196,0.0001722398,0.0001140121],"domain_scores_gemma":[0.9931598,0.00480739,0.0003393135,0.0005652432,0.0008716843,0.0002565601],"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":[0.0009901542,0.0001505723,0.004122999,0.009097355,0.0002823767,0.0001011484,0.00006872055,0.00101498,0.00095046,0.0007818688,0.9750494,0.007390112],"study_design_scores_gemma":[0.01063618,0.0005887838,0.03164177,0.005687011,0.0009490259,0.0005921422,0.0002878254,0.003851047,0.002907963,0.008930255,0.9336986,0.0002293382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001325402,0.00004642064,0.000109869,0.00005818356,0.00002092524,0.00003422967,0.9992723,0.0001455626,0.0001800672],"genre_scores_gemma":[0.001631842,0.00009563511,0.00121325,0.000259946,0.0000246494,0.0007318985,0.994668,0.0001249331,0.001249853],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4206415,"threshold_uncertainty_score":0.8263845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05276929146786633,"score_gpt":0.2736460316621763,"score_spread":0.2208767401943099,"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."}}