{"id":"W2188068291","doi":"10.1017/s0956796816000022","title":"Well-founded recursion with copatterns and sized types","year":2016,"lang":"en","type":"article","venue":"Journal of Functional Programming","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Vetenskapsrådet","keywords":"Computer science; Normalization (sociology); Rewriting; Recursion (computer science); Data type; Theoretical computer science; Pattern matching; Programming language; Algorithm; Discrete mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007748462,0.0005023952,0.001595776,0.001283709,0.001516215,0.003919717,0.00328544,0.001187238,0.002645029],"category_scores_gemma":[0.01960241,0.001388166,0.002573787,0.001377758,0.006645559,0.01173448,0.005802562,0.005062916,0.000795047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004303256,"about_ca_system_score_gemma":0.00322544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005619781,"about_ca_topic_score_gemma":0.003804651,"domain_scores_codex":[0.9908978,0.002427985,0.0008407402,0.00208081,0.002835107,0.0009175512],"domain_scores_gemma":[0.9810092,0.009483272,0.001020152,0.005570751,0.002422284,0.000494358],"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":[0.0001074859,0.00005360179,0.002007762,0.0001080347,0.00003790493,0.0002037546,0.0007951945,0.01003486,0.005350098,0.9602556,0.0008695067,0.02017631],"study_design_scores_gemma":[0.00004894576,0.00008243831,0.0006944581,0.0001024468,0.0001475626,0.0003660822,0.0001423224,0.1548773,0.0327591,0.7881888,0.02250007,0.00009048415],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04135286,0.0002010245,0.9506454,0.0004262772,0.00007924129,0.00007308966,0.0001085342,0.002548275,0.004565224],"genre_scores_gemma":[0.5536414,0.0002793557,0.4345206,0.0005711427,0.0001642235,0.0003074108,0.0002556828,0.001778918,0.008481309],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007748462,"threshold_uncertainty_score":0.04097825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02022604562355896,"score_gpt":0.2315528772498165,"score_spread":0.2113268316262575,"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."}}