{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002538961,0.000142261,0.000169901,0.00005899163,0.0001050054,0.0001462494,0.001721127,0.00007637167,0.0001166116],"category_scores_gemma":[0.00008476935,0.0001106907,0.00005652992,0.0001464642,0.00004711075,0.0004060004,0.0003071516,0.0001018933,0.001735957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001169258,"about_ca_system_score_gemma":0.0000291361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005090481,"about_ca_topic_score_gemma":0.0001229323,"domain_scores_codex":[0.9988696,0.00006259669,0.0002014759,0.0003401788,0.0002030153,0.0003231202],"domain_scores_gemma":[0.9987252,0.0001000059,0.0001315542,0.0008751256,0.00005528975,0.0001128042],"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":[0.00002802057,0.0002900161,0.06445945,0.000100036,0.000107997,0.0002672448,0.01723467,0.000004375299,0.0002790508,0.8318488,0.008711943,0.07666837],"study_design_scores_gemma":[0.002668291,0.001687017,0.1191533,0.00004338583,0.0001053097,0.0001819336,0.001314781,0.002636718,0.01358401,0.2039375,0.6524619,0.002225817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1394454,0.002846049,0.2212838,0.001109623,0.008092388,0.001159614,0.000004365095,0.00203849,0.6240202],"genre_scores_gemma":[0.9911226,0.000005325855,0.006703849,0.0003011027,0.0001573669,0.000009270137,0.000002139931,0.000008640995,0.001689681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8516772,"threshold_uncertainty_score":0.9990413,"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."}}