{"id":"W1969599528","doi":"10.1145/1925844.1926390","title":"Pick your contexts well","year":2011,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":167,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Context (archaeology); Object (grammar); Sensitivity (control systems); Abstraction; Implementation; Quality (philosophy); Theoretical computer science; Allocator; Method; Programming language; Object-oriented programming; Artificial intelligence; Distributed computing","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":[0.003420395,0.002244084,0.001444347,0.002150975,0.003071324,0.008317025,0.002302357,0.002319418,0.03248392],"category_scores_gemma":[0.01978935,0.001751413,0.002463111,0.001418099,0.004045162,0.01788063,0.008028519,0.004558152,0.01841889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001823346,"about_ca_system_score_gemma":0.002286417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003112707,"about_ca_topic_score_gemma":0.004110958,"domain_scores_codex":[0.9943464,0.0011761,0.0003565631,0.001469529,0.001860471,0.0007909748],"domain_scores_gemma":[0.9916944,0.002154147,0.0004547746,0.00394354,0.001390195,0.0003630208],"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":[0.0006493818,0.0001124195,0.007925835,0.0006258393,0.0001630541,0.000838287,0.002897864,0.009436856,0.01354254,0.6812559,0.04984996,0.2327021],"study_design_scores_gemma":[0.00004985178,0.00008931741,0.001431629,0.0004253267,0.000177164,0.0007043051,0.001404409,0.02389078,0.02171415,0.622183,0.3277396,0.0001905767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0353787,0.002200269,0.8400386,0.006822183,0.001588364,0.0004214171,0.001393315,0.01906681,0.09309026],"genre_scores_gemma":[0.3971876,0.00220117,0.4907984,0.007613549,0.000788802,0.0004793227,0.001818281,0.01840846,0.08070447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03248392,"threshold_uncertainty_score":0.1086696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06018896433042852,"score_gpt":0.262159894383952,"score_spread":0.2019709300535235,"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."}}