{"id":"W2146838639","doi":"10.1016/j.entcs.2007.09.019","title":"Two-Level Hybrid: A System for Reasoning Using Higher-Order Abstract Syntax","year":2008,"lang":"en","type":"article","venue":"Electronic Notes in Theoretical Computer Science","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; HOL; Syntax; Programming language; Abstract syntax; Variety (cybernetics); Logical framework; Representation (politics); Artificial intelligence; Theoretical computer science","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":[0.002421193,0.000321475,0.0004203015,0.000278238,0.0007297271,0.0003731798,0.00237664,0.00007859469,0.000008378901],"category_scores_gemma":[0.000189629,0.0002737724,0.0001208906,0.001360375,0.001316128,0.0007033491,0.0005429902,0.0003901685,0.00002457864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006344062,"about_ca_system_score_gemma":0.0007743892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009141527,"about_ca_topic_score_gemma":0.000007722214,"domain_scores_codex":[0.9958312,0.000115024,0.0005318707,0.001140718,0.0007322142,0.001648988],"domain_scores_gemma":[0.9978787,0.0005910946,0.0001825112,0.0008595873,0.0002648683,0.0002232924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001225396,0.00005998529,0.0001992782,0.00003054418,0.000008415766,0.00005373215,0.0001974666,0.0008926832,0.0004828818,0.9873031,0.000003316927,0.01075637],"study_design_scores_gemma":[0.0009333141,0.0003775882,0.0005320958,0.00006552064,0.000009247066,0.0008863826,0.00000891903,0.852271,0.008764382,0.1353657,0.0001862367,0.0005996309],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0392691,0.0002528616,0.9577035,0.0001455615,0.001089054,0.0004909795,0.00000110165,0.0002664471,0.000781348],"genre_scores_gemma":[0.8337877,0.000003592199,0.1657826,0.0001008493,0.0002664766,0.00003131763,0.000001070523,0.00001787489,0.00000842638],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8519374,"threshold_uncertainty_score":0.9999714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02692483528903797,"score_gpt":0.2744474474135393,"score_spread":0.2475226121245014,"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."}}