{"id":"W2380404465","doi":"","title":"Dynamic Logging Tool Platform Based on OSGI","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Logging; Usability; Java; FLEX; Operating system; Embedded system; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001666994,0.001060691,0.0006614888,0.00241256,0.0006060532,0.002553504,0.001614151,0.0006528445,0.01176617],"category_scores_gemma":[0.002993045,0.0005135581,0.0004485862,0.001268529,0.0004132891,0.003356703,0.001692388,0.001677552,0.01032671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00043561,"about_ca_system_score_gemma":0.001482151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042709,"about_ca_topic_score_gemma":0.00059301,"domain_scores_codex":[0.9989358,0.0001447431,0.0001180433,0.0001867544,0.00046528,0.0001494834],"domain_scores_gemma":[0.9981312,0.0002848176,0.00009327039,0.0007323953,0.0005752892,0.0001830152],"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":[0.001393815,0.0006403963,0.005757656,0.0009868442,0.0001264301,0.00144885,0.001334823,0.00698927,0.09745089,0.05218503,0.1208111,0.710875],"study_design_scores_gemma":[0.0004435074,0.000697819,0.006871664,0.000382335,0.0002187654,0.00235611,0.0004235135,0.06976424,0.102227,0.02694156,0.7892873,0.0003861456],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01633532,0.0005505615,0.7374319,0.0003570014,0.000453726,0.0007398306,0.001996153,0.2093138,0.0328217],"genre_scores_gemma":[0.3764815,0.001898478,0.4945177,0.0008861893,0.0004274609,0.002331112,0.01920378,0.0162554,0.08799831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01176617,"threshold_uncertainty_score":0.03936172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007222051938946987,"score_gpt":0.2659262424472633,"score_spread":0.2587041905083163,"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."}}