{"id":"W4408212560","doi":"10.1093/bioinformatics/btaf094","title":"ENACT: End-to-End Analysis of Visium High Definition (HD) Data","year":2025,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sanofi (Canada)","funders":"","keywords":"End-to-end principle; Computer science; End user; Operating system; Computer network","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":[],"consensus_categories":[],"category_scores_codex":[0.002720817,0.00180616,0.001037927,0.001384766,0.001160936,0.00297896,0.001960852,0.001047538,0.01608866],"category_scores_gemma":[0.006030429,0.001031299,0.001468674,0.001701006,0.0008872446,0.001647029,0.002307705,0.002240958,0.02138088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009259643,"about_ca_system_score_gemma":0.002408091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003861789,"about_ca_topic_score_gemma":0.007488891,"domain_scores_codex":[0.9985982,0.0002192536,0.00009160941,0.0005380309,0.0004612439,0.000091597],"domain_scores_gemma":[0.9980389,0.0006977185,0.0001507511,0.000504492,0.0004763816,0.0001317615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002735153,0.0003156141,0.01020806,0.002387684,0.0007735857,0.0008754517,0.001047468,0.02715163,0.1979736,0.01739009,0.5501941,0.1889476],"study_design_scores_gemma":[0.0003657114,0.0002949872,0.0148281,0.0002124151,0.0001640855,0.00102014,0.0004922412,0.294493,0.2267879,0.03931648,0.4217279,0.0002971692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01454686,0.0007092388,0.6054978,0.0006749795,0.0003480997,0.000398426,0.09071966,0.2800768,0.007028228],"genre_scores_gemma":[0.05127712,0.0005710666,0.676193,0.0009852421,0.0000873891,0.001300322,0.2330107,0.02742102,0.009154082],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01608866,"threshold_uncertainty_score":0.05382192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02679882034336073,"score_gpt":0.261496189409761,"score_spread":0.2346973690664003,"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."}}