{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001534123,0.0004287193,0.0005231167,0.000560871,0.00001787244,0.00002147784,0.0009542165,0.0003726565,0.0002068128],"category_scores_gemma":[0.001424707,0.0004662621,0.0001373307,0.000404507,0.00002685647,0.0002354951,0.0002128916,0.0004352089,0.0001007125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006275567,"about_ca_system_score_gemma":0.00002666847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001732107,"about_ca_topic_score_gemma":9.150277e-7,"domain_scores_codex":[0.9983863,0.00002233866,0.0003628768,0.0004941716,0.0003477965,0.0003865497],"domain_scores_gemma":[0.9981405,0.0005483873,0.0002579681,0.0009159076,0.00003674602,0.0001005585],"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":[0.000003032767,0.0001372278,0.0002334805,0.002109463,0.0002982606,0.0001753783,0.000512017,0.3118076,0.0001004812,0.003564822,0.512622,0.1684362],"study_design_scores_gemma":[0.0001794399,0.00004167675,0.0002815661,0.0004480916,0.00002103462,0.00002285239,0.000002834367,0.001309466,0.0001585548,0.0002192595,0.9965419,0.0007732796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000003218302,0.002481912,0.938574,0.000009187936,0.002519201,0.0001706904,0.00001350064,0.004167164,0.05206114],"genre_scores_gemma":[0.00002060217,0.001616777,0.8359491,0.000005863244,0.0003546267,0.00002900576,0.000006710052,0.0003993244,0.1616179],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4839199,"threshold_uncertainty_score":0.9997789,"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."}}