{"id":"W4390880427","doi":"10.1038/s41587-023-02079-x","title":"Disentanglement of single-cell data with biolord","year":2024,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Council for Higher Education; Azrieli Foundation; Israel Science Foundation; European Commission","keywords":"Computer science; Modalities; Computational biology; Biological data; Artificial intelligence; Biology; Bioinformatics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001969252,0.0009653792,0.001063456,0.0009963361,0.0003335868,0.001370835,0.001755428,0.001638903,0.003529828],"category_scores_gemma":[0.004780342,0.0008735167,0.00140909,0.000922897,0.000939277,0.001441474,0.002749192,0.002336056,0.002064158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006644726,"about_ca_system_score_gemma":0.001118601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002568387,"about_ca_topic_score_gemma":0.007585798,"domain_scores_codex":[0.9994856,0.000139498,0.00002720953,0.0001653526,0.0001364054,0.00004589893],"domain_scores_gemma":[0.9987392,0.0007761075,0.00007762099,0.0002598794,0.00007429731,0.00007290309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001241992,0.0003456908,0.01594484,0.001249106,0.0009425562,0.001212548,0.0004638591,0.4728931,0.105756,0.04752264,0.03811524,0.3143124],"study_design_scores_gemma":[0.00004041311,0.00005396686,0.001367461,0.000028857,0.00003488678,0.0001273453,0.00003088179,0.9443062,0.01076719,0.03549241,0.007708238,0.00004219812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03912725,0.001560575,0.9425622,0.0006785262,0.0001945306,0.00007206432,0.004576066,0.009209064,0.002019706],"genre_scores_gemma":[0.5783582,0.001314653,0.3811106,0.001660437,0.0001873751,0.0004819499,0.02577886,0.003061052,0.008046698],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003529828,"threshold_uncertainty_score":0.0118084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130338050681961,"score_gpt":0.2457077384590009,"score_spread":0.2326739333908048,"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."}}