{"id":"W6968518956","doi":"10.5281/zenodo.16782450","title":"Borzoi Human Model Predictor (Linder et al. 2025) using the Genomic API for Model Evaluation (GAME) Framework","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Container (type theory); Scripting language; ENCODE; Replicate; Source code; Code (set theory); Sample (material); Interpretation (philosophy)","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":[0.002274899,0.002573587,0.001470103,0.0008558962,0.0005369704,0.001933834,0.003458566,0.001498766,0.1138792],"category_scores_gemma":[0.006871814,0.001602586,0.00234581,0.0007242361,0.0003486694,0.001541362,0.002365411,0.003510653,0.06381983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031401,"about_ca_system_score_gemma":0.001906881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007559205,"about_ca_topic_score_gemma":0.01222126,"domain_scores_codex":[0.9992684,0.0001848655,0.00004260386,0.0002092768,0.0002025759,0.00009222113],"domain_scores_gemma":[0.9989536,0.0005808986,0.00005405039,0.0001930717,0.0001527729,0.00006559599],"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":[0.0005272061,0.0001038053,0.002678196,0.0009666373,0.0003913408,0.0002046563,0.0001527766,0.02606038,0.003015184,0.01120274,0.8865116,0.06818548],"study_design_scores_gemma":[0.0006914456,0.0002103614,0.002497238,0.000355279,0.0001742494,0.0002884599,0.00007021685,0.5272026,0.01224157,0.04293617,0.4131724,0.0001599892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.004079409,0.0008685857,0.2666637,0.0006583913,0.0004503409,0.0002616394,0.08688439,0.6301349,0.009998595],"genre_scores_gemma":[0.05595322,0.0008531688,0.4054253,0.001637761,0.0001652913,0.002336674,0.2618219,0.2474653,0.02434136],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1138792,"threshold_uncertainty_score":0.3809638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07375884704664674,"score_gpt":0.3182780675039408,"score_spread":0.244519220457294,"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."}}