{"id":"W4394380937","doi":"10.6084/m9.figshare.22616075","title":"Additional file 2 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; Receptivity; Computer science; Internal medicine; Biology; Medicine; Gene; Gene expression; Genetics; 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":[0.003102159,0.001411392,0.001870041,0.001566411,0.0009189192,0.002343011,0.002433213,0.002587849,0.4744896],"category_scores_gemma":[0.03597203,0.0006093964,0.002337262,0.001963528,0.0003906433,0.001150712,0.001511244,0.001439466,0.07443435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032197,"about_ca_system_score_gemma":0.003006392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006846802,"about_ca_topic_score_gemma":0.01287247,"domain_scores_codex":[0.9988399,0.0002954822,0.0001709782,0.0003748168,0.0001929549,0.0001257538],"domain_scores_gemma":[0.9834705,0.01256976,0.0008290987,0.001193976,0.001498244,0.0004384757],"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":[0.001242165,0.0001237361,0.004672473,0.008856439,0.0003132635,0.00008480441,0.00006879773,0.0006931351,0.0002277815,0.001004711,0.9749841,0.007728706],"study_design_scores_gemma":[0.01819248,0.0006952733,0.03619417,0.01100778,0.001577871,0.0006769054,0.0003366351,0.002832757,0.001201164,0.01292482,0.9141284,0.00023177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001415232,0.00005445608,0.0001332147,0.000097328,0.00002173619,0.0000645462,0.9991775,0.00006812082,0.0002415834],"genre_scores_gemma":[0.003676751,0.0001904583,0.002118073,0.0006026712,0.0000722533,0.002696256,0.9878419,0.0001644168,0.002637199],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4744896,"threshold_uncertainty_score":0.7495768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0516985601996852,"score_gpt":0.2731576986154414,"score_spread":0.2214591384157562,"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."}}