{"id":"W4252928984","doi":"10.1002/0471028959.sof002","title":"Abstraction","year":2002,"lang":"en","type":"other","venue":"Encyclopedia of Software Engineering","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Abstraction; Computer science; Programming language; Adjective; Context (archaeology); Noun; Artificial intelligence; Theoretical computer science; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002993615,0.001686966,0.0009324836,0.002539092,0.002520085,0.008569869,0.002694791,0.002150464,0.1835925],"category_scores_gemma":[0.01165141,0.0007693076,0.001880183,0.002881795,0.002069183,0.009692334,0.00900668,0.003488035,0.1062379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002914397,"about_ca_system_score_gemma":0.004782152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004916759,"about_ca_topic_score_gemma":0.002369682,"domain_scores_codex":[0.9950119,0.001151386,0.0004563912,0.0007038569,0.002013764,0.0006626706],"domain_scores_gemma":[0.9945447,0.0008695166,0.0002483689,0.001690185,0.002197211,0.0004499014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001573971,0.00004743785,0.0009170708,0.0006490033,0.00003326427,0.0004308501,0.001716415,0.001675843,0.001313798,0.3486834,0.450716,0.1936597],"study_design_scores_gemma":[0.00001148227,0.00001554929,0.0002075259,0.0001375914,0.00001340963,0.0002131158,0.0002387522,0.0005479127,0.0004336763,0.03725905,0.9609019,0.000020086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003660235,0.002243706,0.20992,0.007975277,0.003989258,0.000841061,0.007702481,0.01262227,0.7510458],"genre_scores_gemma":[0.1469902,0.007139705,0.1286923,0.008471185,0.002710996,0.001472743,0.02628198,0.008737231,0.6695035],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1835925,"threshold_uncertainty_score":0.6141781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134297901407913,"score_gpt":0.2303187779692613,"score_spread":0.21688898782847,"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."}}