{"id":"W4387693588","doi":"10.1145/3610408","title":"Focusing on Refinement Typing","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Programming Languages and Systems","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme; European Commission","keywords":"Computer science; Soundness; Programming language; Correctness; Decidability; Theoretical computer science; Unification; Type theory; Algorithm; Type (biology)","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0006103062,0.0002067309,0.0002366595,0.0002634158,0.0004365857,0.0005371951,0.0004590547,0.00009918955,0.000004807737],"category_scores_gemma":[0.00003245137,0.0001659278,0.00008881191,0.0006110149,0.0000341143,0.0001657752,0.00002663491,0.000187523,0.000131391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004636723,"about_ca_system_score_gemma":0.00002127554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003515728,"about_ca_topic_score_gemma":0.00003322443,"domain_scores_codex":[0.998364,0.0001004417,0.0002991183,0.0004909859,0.0002940233,0.0004514636],"domain_scores_gemma":[0.9988262,0.0001545191,0.00009657904,0.0007552477,0.00004828408,0.0001191486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009539685,0.00009253182,0.0001072219,0.00015797,0.00007093634,0.00006593522,0.002020208,0.0004317595,0.0002021017,0.04517006,0.0001489984,0.9515227],"study_design_scores_gemma":[0.004488225,0.004435188,0.002079131,0.0008727747,0.0001963899,0.0006199387,0.02398986,0.04609808,0.00345696,0.005762086,0.9046069,0.003394476],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01879624,0.001369188,0.9697219,0.001584766,0.002378762,0.001217736,0.000004240165,0.002400661,0.002526553],"genre_scores_gemma":[0.9954636,0.00005200149,0.002290235,0.00007777389,0.0001386036,0.0001627294,0.000005681448,0.00002214749,0.001787269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9766673,"threshold_uncertainty_score":0.6766341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03707078402181975,"score_gpt":0.2963346349498387,"score_spread":0.259263850928019,"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."}}