{"id":"W2060631282","doi":"10.1002/nem.751","title":"A hybrid approach to operating system discovery based on diagnosis","year":2010,"lang":"en","type":"article","venue":"International Journal of Network Management","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"University of Ottawa; Université Laval","keywords":"Computer science; Unification; Simple (philosophy); Knowledge extraction; Data science; Artificial intelligence; Machine learning; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004997033,0.0008044047,0.001200976,0.00493233,0.001189758,0.004502351,0.004183197,0.002419249,0.003364941],"category_scores_gemma":[0.01064159,0.0008273236,0.00125498,0.002428527,0.003824698,0.006391742,0.004514533,0.002305362,0.0005824715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002358042,"about_ca_system_score_gemma":0.002843187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004716489,"about_ca_topic_score_gemma":0.004132728,"domain_scores_codex":[0.9940783,0.002181406,0.0003193418,0.0008441855,0.002282223,0.0002945322],"domain_scores_gemma":[0.9832519,0.01188275,0.0008444085,0.002143616,0.001523982,0.000353314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005308838,0.0007615772,0.008214518,0.0005143432,0.0002841653,0.001016977,0.002161401,0.1890519,0.01376203,0.4587196,0.004175568,0.3208072],"study_design_scores_gemma":[0.00007164125,0.00007604566,0.0003707331,0.00002866392,0.00007164788,0.0002944943,0.0002011443,0.8766253,0.004640632,0.11306,0.004505687,0.0000540104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01579703,0.0001994272,0.9781974,0.0008756962,0.00004529607,0.0001141972,0.00007083966,0.001059135,0.003641014],"genre_scores_gemma":[0.3792726,0.0001713138,0.6172912,0.0003049691,0.00006576232,0.0001494518,0.0001616104,0.00009165073,0.002491303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004997033,"threshold_uncertainty_score":0.02642715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008074049951444444,"score_gpt":0.2356524395593317,"score_spread":0.2275783896078872,"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."}}