{"id":"W4226466002","doi":"10.1109/qrs54544.2021.00093","title":"MINTS: Unsupervised Temporal Specifications Miner","year":2021,"lang":"en","type":"article","venue":"2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Correctness; Computer science; Debugging; Task (project management); Finite-state machine; Scalability; Frame (networking); Software; State (computer science); Trie; Software bug; Software system; Artificial intelligence; Programming language; Data structure; Engineering; Database; Systems engineering","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":[0.001245414,0.0003643917,0.0004521011,0.0001662606,0.0002757417,0.000643054,0.001239214,0.0002388802,0.0005097736],"category_scores_gemma":[0.0030449,0.0003695345,0.0001981524,0.0004632481,0.0002715756,0.0005498744,0.0004502649,0.0005499446,0.0001031781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001501088,"about_ca_system_score_gemma":0.0003947449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004134147,"about_ca_topic_score_gemma":0.000129134,"domain_scores_codex":[0.9961213,0.0005229285,0.0007968613,0.001275581,0.0009010931,0.0003822579],"domain_scores_gemma":[0.9955546,0.001036812,0.000236938,0.001418508,0.001495699,0.0002574827],"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":[0.0001143186,0.002703737,0.1165821,0.0003180423,0.0001876816,0.0001408428,0.005696263,0.0000424138,0.0007356293,0.8077672,0.02359773,0.04211399],"study_design_scores_gemma":[0.00159684,0.0003312778,0.02975697,0.0006098012,0.00004161523,0.000140205,0.0006032791,0.02435232,0.004645244,0.905537,0.03054608,0.001839338],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4013682,0.0004151687,0.5264105,0.03800658,0.004964688,0.00098605,0.0007811702,0.008023242,0.0190444],"genre_scores_gemma":[0.918654,0.0002352096,0.07834878,0.001317774,0.000257179,0.00007159985,0.0001801859,0.00002128317,0.0009139547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5172858,"threshold_uncertainty_score":0.9998757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058328063241746,"score_gpt":0.34160529800087,"score_spread":0.2357724916766954,"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."}}