{"id":"W2151605217","doi":"10.1145/355045.355054","title":"Implicit context","year":2000,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Context (archaeology); Computer science; Component (thermodynamics); Java; Mechanism (biology); Software; Simple (philosophy); Software engineering; Human–computer interaction; Programming language; Distributed computing; Epistemology; Philosophy; History","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":[],"consensus_categories":[],"category_scores_codex":[0.00009844895,0.00005562755,0.00006843705,0.00001990475,0.00002577468,0.00002620959,0.0004195537,0.00002080009,0.0002326095],"category_scores_gemma":[0.00005989945,0.00004653769,0.00002162901,0.0001220103,0.00001207177,0.0002222714,0.0000442015,0.00004817907,0.0003253327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001047591,"about_ca_system_score_gemma":0.000006726959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006636186,"about_ca_topic_score_gemma":8.233072e-7,"domain_scores_codex":[0.9995601,0.0000189275,0.0000683664,0.0001490186,0.00006114311,0.0001424138],"domain_scores_gemma":[0.9994186,0.0002019006,0.000006824984,0.0003283058,0.00001152914,0.00003283882],"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":[6.987316e-7,0.000004021517,0.00001840204,0.000001030523,0.000002332298,0.000003714026,0.00008087228,0.005440002,0.0002500148,0.06538618,0.0006900571,0.9281227],"study_design_scores_gemma":[0.0009952836,0.0002634624,0.01161418,0.00002409911,0.000005102605,0.0001802944,0.00007256303,0.02758753,0.04105772,0.4537217,0.4631914,0.00128674],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002941198,0.00007008915,0.9849383,0.000256804,0.00009683165,0.00003124499,1.451996e-7,0.000955691,0.01070974],"genre_scores_gemma":[0.1176295,0.00001179884,0.8770155,0.0005341807,0.00001925077,0.000004940827,1.160108e-7,0.000003958059,0.004780727],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.926836,"threshold_uncertainty_score":0.4181602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590107550770659,"score_gpt":0.2767798490493185,"score_spread":0.2508787735416119,"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."}}