{"id":"W4409739468","doi":"10.1007/978-3-031-90252-9_36","title":"Integration and Querying of Multimodal Single-Cell Data with PoE-VAE","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"","keywords":"Computer science; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001841921,0.0002217772,0.0002245308,0.0001374982,0.00006031127,0.0000575302,0.0006044892,0.0002121017,0.000002184745],"category_scores_gemma":[0.00003652289,0.0001827847,0.00002753819,0.00008426527,0.0004165118,0.00001181473,0.0003529992,0.0002093228,2.518919e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002098713,"about_ca_system_score_gemma":0.0002112583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006918073,"about_ca_topic_score_gemma":0.0003744825,"domain_scores_codex":[0.9987136,0.00001248929,0.0002101606,0.0007092041,0.0001835659,0.0001709432],"domain_scores_gemma":[0.999052,0.00004832782,0.0001110381,0.0006364184,0.0001105615,0.00004169011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007725398,0.00007369405,0.0003490344,0.0001063968,0.00002041794,0.00000725871,0.0001831134,0.001748061,0.5209798,0.0001326475,0.00002509416,0.4762973],"study_design_scores_gemma":[0.001481039,0.001549785,0.0001800773,0.001456734,0.00006654511,0.00004252727,0.000001897584,0.1477269,0.8395301,0.002098523,0.004755913,0.001109958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007107323,0.0009553888,0.9899545,0.00007220658,0.0002693595,0.0001707748,0.00003344814,0.000008378101,0.001428615],"genre_scores_gemma":[0.8312296,0.0001509459,0.1675484,0.0003894373,0.0002011082,0.00000140322,0.0001721564,0.00002054433,0.0002863738],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8241223,"threshold_uncertainty_score":0.7453744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903982656787051,"score_gpt":0.2352888609600856,"score_spread":0.216249034392215,"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."}}