{"id":"W2361587526","doi":"","title":"The Interface Design between DSPHPI and VMEbus in Multi-processor System","year":2008,"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":"VMEbus; Computer science; Interface (matter); Scheme (mathematics); Computer hardware; Direct memory access; Radar; Digital signal processor; Embedded system; Digital signal processing; Operating system; Computer architecture; Telecommunications; Data acquisition","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001825807,0.0001626984,0.0001583178,0.0000866303,0.0006384279,0.0001148182,0.001016725,0.00005678874,2.368104e-7],"category_scores_gemma":[0.000001018865,0.0001350658,0.00003486811,0.0005797105,0.0001176038,0.0002104047,0.0003442052,0.0001721739,0.00003585798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008130389,"about_ca_system_score_gemma":0.00005563842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000108339,"about_ca_topic_score_gemma":0.000002966554,"domain_scores_codex":[0.9987351,0.00004905062,0.0003521723,0.0004809856,0.0001239158,0.0002587786],"domain_scores_gemma":[0.9989246,0.0003239807,0.0001172806,0.0004504359,0.0001022515,0.00008150484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007681126,0.000261463,0.00161151,0.00008263643,0.00005080329,0.000009620135,0.001701014,0.007406598,0.003202285,0.2230042,0.001339274,0.7613229],"study_design_scores_gemma":[0.001652547,0.0001247798,0.02711434,0.0001364076,0.00002220831,0.0006159415,0.0001439994,0.4790947,0.01486047,0.02378522,0.4511714,0.001278011],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001080192,0.0004085698,0.9960258,0.00100418,0.000007985703,0.001014253,0.000004176584,0.0003693687,0.00008548555],"genre_scores_gemma":[0.2899829,0.00005765151,0.7087383,0.00008140437,0.0000400289,0.001010785,0.000003192497,0.00001114576,0.00007456459],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7600449,"threshold_uncertainty_score":0.5507824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04440796774232569,"score_gpt":0.3115230751773516,"score_spread":0.2671151074350259,"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."}}