{"id":"W3009278385","doi":"10.1145/3022670.2951929","title":"Indexed codata types","year":2016,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Computer science; Guard (computer science); Data type; Type (biology); Matching (statistics); Continuation; Programming language; Semantics (computer science); Pattern matching; Key (lock); Dual (grammatical number); Theoretical computer science; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002592745,0.0001099863,0.0001337067,0.00005835941,0.0000817216,0.0001579529,0.00176914,0.00006448895,0.00005415433],"category_scores_gemma":[0.0002740308,0.00006317008,0.00003251296,0.0001606097,0.0000476664,0.0004963913,0.0004231862,0.00004976682,0.001117875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001454413,"about_ca_system_score_gemma":0.00003514309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008138877,"about_ca_topic_score_gemma":0.00006508214,"domain_scores_codex":[0.9989966,0.00005379197,0.0001552993,0.00031594,0.0002133589,0.0002650422],"domain_scores_gemma":[0.9984645,0.0003128709,0.00009827303,0.0009954236,0.00004615297,0.0000827745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001760861,0.0001003849,0.04309386,0.00005367371,0.00008468707,0.00008493543,0.001114447,0.000003024946,0.00278769,0.6119558,0.014017,0.3266869],"study_design_scores_gemma":[0.001754188,0.0005331468,0.02854287,0.00005104947,0.00004228073,0.00006129579,0.0001090427,0.000748186,0.01061516,0.103382,0.8530543,0.001106506],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1171666,0.002449354,0.7782145,0.01558038,0.008111608,0.001148364,0.00002951939,0.002675542,0.0746242],"genre_scores_gemma":[0.9951527,0.00001043833,0.003190019,0.0001936045,0.0001782096,0.000007323749,0.000002906077,0.000006784525,0.001258038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8779861,"threshold_uncertainty_score":0.9996599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03666207173781445,"score_gpt":0.2609169768718032,"score_spread":0.2242549051339887,"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."}}