{"id":"W2888095436","doi":"10.1002/spe.2624","title":"C: Adding modern programming language features to C","year":2018,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Programming language; Garbage collection; Software engineering; Third-generation programming language; Programming paradigm; Second-generation programming language; Garbage; Fifth-generation programming language","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":[0.002122571,0.001317151,0.0005165832,0.001988172,0.001078184,0.003336398,0.00267499,0.001202693,0.02120883],"category_scores_gemma":[0.0123107,0.0008417111,0.001257356,0.001899718,0.001361678,0.004876942,0.003012568,0.003769949,0.01105094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134264,"about_ca_system_score_gemma":0.002294043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003398324,"about_ca_topic_score_gemma":0.002479679,"domain_scores_codex":[0.9965647,0.0004809001,0.0003130599,0.0004770143,0.001877614,0.0002867798],"domain_scores_gemma":[0.9929594,0.002072713,0.0004288589,0.002232145,0.001942742,0.0003642764],"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":[0.000536774,0.000181259,0.001981049,0.0010762,0.0001018434,0.0006220233,0.0006454752,0.009454153,0.02327997,0.1376047,0.2169552,0.6075612],"study_design_scores_gemma":[0.0001686225,0.000185214,0.001150993,0.0003964983,0.00009134162,0.001394668,0.00009934726,0.04310957,0.02715586,0.08369149,0.8423184,0.0002380037],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006698588,0.0007875625,0.8919229,0.00171267,0.0007245815,0.0003094955,0.0008150789,0.06896278,0.02806632],"genre_scores_gemma":[0.05806451,0.00137897,0.9048858,0.001740345,0.0005751093,0.0003992657,0.002336752,0.01539809,0.01522116],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02120883,"threshold_uncertainty_score":0.07095057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808132005625616,"score_gpt":0.3071433496998017,"score_spread":0.2890620296435455,"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."}}