{"id":"W2787424244","doi":"","title":"HOL Light QE","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"HOL; Lisp; Computer science; Programming language; Type theory; Syntax; Type (biology); Discrete mathematics; Theoretical computer science; Mathematics; Artificial intelligence","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000301819,0.0003189472,0.0003378477,0.0002065127,0.0001852086,0.0002499669,0.002626702,0.000378616,0.00005074482],"category_scores_gemma":[0.00002286907,0.0003232292,0.000241201,0.0004699341,0.0001114671,0.0003026203,0.002437028,0.0004180951,0.001182062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001417543,"about_ca_system_score_gemma":0.0001753703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001562179,"about_ca_topic_score_gemma":0.00004100506,"domain_scores_codex":[0.9979104,0.0001381041,0.0001930447,0.001205048,0.0001163777,0.000437067],"domain_scores_gemma":[0.997598,0.00003796624,0.0002635556,0.001697916,0.0002012651,0.0002012918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001088608,0.00011207,0.002716908,0.0001052439,0.0001216205,0.0005471532,0.0005569762,0.001020212,0.00001997418,0.9869938,0.006511881,0.001283266],"study_design_scores_gemma":[0.00113805,0.0003538217,0.001331244,0.00007321126,0.0001502339,0.00004222077,0.0001285886,0.1295768,0.0009044301,0.6293253,0.2349853,0.001990808],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02080631,0.000132796,0.9304749,0.0001434245,0.002889663,0.0003976347,0.000002733396,0.0006450983,0.04450745],"genre_scores_gemma":[0.9906234,0.00004590935,0.0006719902,0.00009060459,0.0003643453,0.000001237244,0.000008013256,0.00001695906,0.008177507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9698171,"threshold_uncertainty_score":0.999922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07030005003343699,"score_gpt":0.1874427244848585,"score_spread":0.1171426744514215,"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."}}