{"id":"W4241907611","doi":"10.1145/2480359.2429075","title":"Copatterns","year":2013,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Coinduction; Programming language; Soundness; Haskell; Functional programming; Data type; Data structure; Theoretical computer science; Pattern matching; Type (biology); Matching (statistics); Semantics (computer science); Sketch; Algorithm; Mathematical proof; Mathematics","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":[0.005391953,0.0009477386,0.001276777,0.001847779,0.002562216,0.0048813,0.003464887,0.001819023,0.01161967],"category_scores_gemma":[0.01241449,0.001435268,0.002802307,0.002162498,0.006126549,0.01572446,0.00839381,0.004207235,0.003338761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00198851,"about_ca_system_score_gemma":0.002469627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002433635,"about_ca_topic_score_gemma":0.001733926,"domain_scores_codex":[0.9930807,0.00111483,0.001002305,0.002229119,0.001813193,0.000759891],"domain_scores_gemma":[0.9894489,0.003405326,0.0007697612,0.004174466,0.001880342,0.0003211628],"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":[0.00007976354,0.00002902663,0.001157915,0.0001428759,0.00002859109,0.0001905679,0.001025848,0.0007638968,0.0021334,0.9569611,0.004156426,0.03333078],"study_design_scores_gemma":[0.00003282881,0.00007627666,0.0004488836,0.0001909156,0.00008857492,0.0007485736,0.0003975803,0.01233554,0.01783399,0.7611064,0.2066538,0.0000866738],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01300145,0.0003493562,0.9611788,0.0006202578,0.0002929332,0.0001800399,0.0007354938,0.004125325,0.01951633],"genre_scores_gemma":[0.3707402,0.001005528,0.5693924,0.002037579,0.0005541684,0.001498172,0.002832215,0.006448392,0.04549133],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01161967,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893206053508614,"score_gpt":0.2500366596544939,"score_spread":0.2211045991194077,"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."}}