{"id":"W4405673994","doi":"10.1101/2024.12.17.628533","title":"Hierarchical Interpretation of Out-of-Distribution Cells Using Bottlenecked Transformer","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Transformer; Interpretation (philosophy); Computer science; Mathematics; Artificial intelligence; Physics; Quantum mechanics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003978279,0.0004066777,0.0006783917,0.0002715554,0.00007865113,0.000137503,0.0006835023,0.0003872803,0.000009247828],"category_scores_gemma":[0.00005432717,0.0004080814,0.0004101854,0.0007514509,0.000173179,0.0002499067,0.0004902981,0.0008656006,0.00001930175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002440215,"about_ca_system_score_gemma":0.0008830006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003794108,"about_ca_topic_score_gemma":0.000001192579,"domain_scores_codex":[0.9974424,0.0001216153,0.0007145451,0.0008493771,0.0005076729,0.0003644499],"domain_scores_gemma":[0.9977822,0.00007586103,0.0003288515,0.001029711,0.0005982211,0.0001851028],"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":[0.00004979602,0.0003830313,0.00005868599,0.001601985,0.0002278466,0.00001718191,0.0001055005,0.0005023277,0.9720241,0.02484487,0.0001196507,0.00006495613],"study_design_scores_gemma":[0.0003112099,0.0001242166,0.001448905,0.0009952177,0.0002206967,4.26765e-8,0.000001682308,0.1262124,0.8688681,0.0004846763,0.0007826151,0.0005503027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4779269,0.0002823682,0.518509,0.0001358241,0.002039848,0.000420157,0.0004440354,0.0002273749,0.00001443919],"genre_scores_gemma":[0.9825272,0.00004731827,0.01715405,0.00002870302,0.0001683144,0.00003154871,0.000001441474,0.00003941037,0.00000200712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5046003,"threshold_uncertainty_score":0.9998371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151615365012035,"score_gpt":0.2345040725911812,"score_spread":0.2193425360899777,"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."}}