{"id":"W2982245660","doi":"10.5539/cis.v12n4p56","title":"Model Checking of WebRTC Peer to Peer System","year":2019,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Digital Rights Management and Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"WebRTC; Computer science; Promela; Correctness; Model checking; Session (web analytics); Consistency (knowledge bases); Peer-to-peer; Reliability (semiconductor); Implementation; JavaScript; Distributed computing; Computer network; Software engineering; Theoretical computer science; Programming language; World Wide Web","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":[0.0007816142,0.00007503383,0.0001064949,0.0002961441,0.00008832195,0.0006905194,0.0008456094,0.00001657916,0.000001622555],"category_scores_gemma":[0.00001519132,0.00005834524,0.00002275693,0.0006309687,0.00005536781,0.01203179,0.0006570243,0.00003777649,0.0001315775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000267717,"about_ca_system_score_gemma":0.00005409935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000281438,"about_ca_topic_score_gemma":1.651329e-7,"domain_scores_codex":[0.998568,0.000004698828,0.0002415756,0.0001634618,0.000847097,0.0001751669],"domain_scores_gemma":[0.9989587,0.00001307724,0.00008527307,0.0003188638,0.0005299589,0.00009413462],"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":[0.000001983064,0.000008151146,0.0002322627,0.00007137121,0.000002079465,1.60492e-7,0.004203559,0.005783279,0.0000598206,0.9558541,0.001151354,0.03263195],"study_design_scores_gemma":[0.000114533,0.00003913672,0.00226355,0.0000271696,7.175515e-7,0.000002051579,0.00004225594,0.9838191,0.0002989088,0.0004476347,0.01285392,0.00009106418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.110346,0.000001975709,0.807014,0.0003869258,0.0003742021,0.0001689469,0.000001407068,0.00006969225,0.08163676],"genre_scores_gemma":[0.9731823,6.057565e-7,0.02594627,0.0004824095,0.00001143366,0.000001784937,0.000001225887,0.000001059057,0.000372876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9780358,"threshold_uncertainty_score":0.8722759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148756207631646,"score_gpt":0.2294063161276466,"score_spread":0.214530695364482,"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."}}