{"id":"W2522537045","doi":"10.1007/978-3-319-46982-9_15","title":"nfer – A Notation and System for Inferring Event Stream Abstractions","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Programming language; Event (particle physics); Scala; Notation; Digital subscriber line; Datalog; Process (computing); Java","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":[0.0007201928,0.0003474025,0.0003607064,0.0005094284,0.0002022103,0.0002260523,0.0009584215,0.0002051806,0.000001090296],"category_scores_gemma":[0.0003411309,0.0002899813,0.00007625094,0.0001516574,0.000227645,0.0006368301,0.0004929712,0.0003055168,0.000007170097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003836628,"about_ca_system_score_gemma":0.0001970204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003367795,"about_ca_topic_score_gemma":0.00001158222,"domain_scores_codex":[0.9978433,0.00002088371,0.000368792,0.0009731546,0.0003720833,0.0004217381],"domain_scores_gemma":[0.9966189,0.002172623,0.0002120797,0.000701418,0.0001933871,0.0001015842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003582654,0.000005517284,0.00001155742,0.0001220599,0.000009555264,0.00001074855,0.0002445469,0.1910695,0.0003085503,0.06037451,0.000001421299,0.7478385],"study_design_scores_gemma":[0.0007085055,0.000302952,0.000597593,0.00195371,0.00002307318,0.000193824,9.504806e-7,0.3929181,0.00521494,0.595459,0.001290706,0.001336613],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00005602711,0.0002230414,0.9965057,0.0002206124,0.001929131,0.0004303986,0.000009027282,0.0004034369,0.0002226646],"genre_scores_gemma":[0.1066419,0.00002105299,0.8928037,0.00006532523,0.0002642145,0.00003696567,0.000001355709,0.00002662074,0.0001388414],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7465019,"threshold_uncertainty_score":0.9999552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03249337382863028,"score_gpt":0.2926266532424803,"score_spread":0.2601332794138501,"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."}}