{"id":"W4388557093","doi":"10.1007/978-3-031-47705-8_20","title":"Scalable and Precise Refinement Types for Imperative Languages","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Programming language; Scalability; Type (biology); Theoretical computer science; Database","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":[0.0007753765,0.0003244199,0.0003846967,0.0003439911,0.0002321451,0.0005499169,0.001175576,0.0001912869,0.000006149736],"category_scores_gemma":[0.00009802654,0.0002555142,0.00007190843,0.0002956823,0.0002983729,0.000258624,0.0007658977,0.000248338,0.0000344102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009675956,"about_ca_system_score_gemma":0.0002030573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004278183,"about_ca_topic_score_gemma":0.0001664751,"domain_scores_codex":[0.9976901,0.00002003357,0.0003040671,0.001072937,0.000443109,0.0004697341],"domain_scores_gemma":[0.9984902,0.0004028581,0.0001543828,0.000654425,0.0001884338,0.00010977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005869599,0.00001743219,0.00004072923,0.0001123229,0.00002258233,0.0000366139,0.001572414,0.001010365,0.0001136777,0.3446701,0.0001697657,0.6522281],"study_design_scores_gemma":[0.0008776632,0.0009823123,0.0001829608,0.0002590057,0.00002838207,0.00007343285,0.000003058324,0.2404296,0.003312524,0.7283953,0.02406854,0.001387199],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002250281,0.0008080896,0.9935793,0.0005535234,0.001186869,0.0006501524,0.000004331164,0.0001942393,0.003000988],"genre_scores_gemma":[0.3823267,0.000335932,0.5873128,0.001585192,0.00206467,0.0002478048,0.00003441175,0.0001418533,0.02595063],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6508409,"threshold_uncertainty_score":0.9999897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240080602861241,"score_gpt":0.2695645377260202,"score_spread":0.2471637316974078,"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."}}