{"id":"W2364459018","doi":"","title":"The Study and Implement for Modeling of Virtual Component Library in VLAB","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Component (thermodynamics); Computer science; Virtual machine; Software engineering; Human–computer interaction; Operating system","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":[0.0008701929,0.0005121822,0.0003494929,0.0008229214,0.0007759657,0.002509311,0.001390627,0.0008383908,0.005081073],"category_scores_gemma":[0.002217012,0.0004812974,0.0008435152,0.0005503296,0.0006711591,0.002661749,0.0007677345,0.001143887,0.001878844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048436,"about_ca_system_score_gemma":0.001936031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006860414,"about_ca_topic_score_gemma":0.003376871,"domain_scores_codex":[0.9990532,0.0002610298,0.00005207201,0.0001206509,0.0004271177,0.00008600654],"domain_scores_gemma":[0.9995452,0.0001089362,0.00003675515,0.00008591376,0.0001942031,0.00002907405],"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":[0.0001400607,0.000131114,0.004537672,0.0006753585,0.00008368687,0.0004986372,0.001624478,0.218615,0.02638202,0.5318042,0.009916411,0.2055914],"study_design_scores_gemma":[0.00005077705,0.0001160415,0.00102261,0.0001877887,0.00009272501,0.000527001,0.0001875621,0.7423983,0.02377739,0.0473063,0.184273,0.00006034192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008494586,0.0005174445,0.9745763,0.0002872848,0.00008011905,0.00009380114,0.00006465261,0.001446669,0.01443919],"genre_scores_gemma":[0.4066579,0.002788892,0.5504676,0.000222865,0.000125763,0.0005621386,0.0005455993,0.0008320507,0.03779713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006860414,"threshold_uncertainty_score":0.01699793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109800429218515,"score_gpt":0.2316458110434943,"score_spread":0.2205478067513091,"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."}}