{"id":"W2252374344","doi":"10.4230/lipics.ecoop.2015.76","title":"Concrete Types for TypeScript","year":2015,"lang":"en","type":"preprint","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Office of Naval Research; Agence Nationale de la Recherche; National Science Foundation","keywords":"TypeScript; JavaScript; Computer science; Programming language; Compiler; Toolchain; Code (set theory); Point (geometry); Software engineering; Set (abstract data type); Software","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003976814,0.001151921,0.0009022248,0.001732375,0.001700786,0.007179991,0.002838022,0.002154942,0.04556665],"category_scores_gemma":[0.01447994,0.001564994,0.002339583,0.002439528,0.003078999,0.01115457,0.004887882,0.005736912,0.02436257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189241,"about_ca_system_score_gemma":0.002685864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001101268,"about_ca_topic_score_gemma":0.001335434,"domain_scores_codex":[0.9957662,0.000741101,0.0007366455,0.0006245239,0.001787387,0.0003442094],"domain_scores_gemma":[0.9930723,0.002298717,0.0005438536,0.002579571,0.001223589,0.0002819035],"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":[0.0001462821,0.00003485083,0.0005880876,0.0005035128,0.00002798378,0.0002205118,0.000479779,0.001488463,0.004132437,0.8807845,0.04173117,0.06986246],"study_design_scores_gemma":[0.00005564325,0.00002504591,0.0001558149,0.00028436,0.00003435947,0.0005206724,0.00008018193,0.007068187,0.007844289,0.5528443,0.4310212,0.00006604939],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001897848,0.0007265611,0.9542669,0.0009120608,0.0009027706,0.0001375195,0.00170008,0.01632395,0.02313234],"genre_scores_gemma":[0.08832259,0.001988376,0.8515744,0.002174711,0.001027921,0.0008819838,0.005526833,0.01633809,0.03216513],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04556665,"threshold_uncertainty_score":0.1524356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04170734998501201,"score_gpt":0.2783358575516958,"score_spread":0.2366285075666838,"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."}}