{"id":"W2128248218","doi":"10.1109/wescan.1993.270554","title":"ATM framing acquisition","year":2002,"lang":"en","type":"article","venue":"","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Framing (construction); Computer science; Byte; Header; Theoretical computer science; Computer hardware; Computer network; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000261981,0.00002914456,0.0000259857,0.00001785827,0.00006426316,0.00006434393,0.0002250092,0.00001459074,0.0004076765],"category_scores_gemma":[0.000001364038,0.00002627583,0.00001746332,0.0001402073,0.000006237075,0.0001733712,0.00005469729,0.00002176919,0.001226262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006240525,"about_ca_system_score_gemma":0.00000140968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004465182,"about_ca_topic_score_gemma":5.210856e-7,"domain_scores_codex":[0.9996951,0.000004804832,0.00005045226,0.0001104971,0.00006458805,0.00007455654],"domain_scores_gemma":[0.9996825,0.00001250191,0.00001107161,0.0002579414,0.000009947384,0.00002600085],"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":[6.347125e-8,0.00007241631,0.0001236551,0.000002981487,0.000003563007,0.000004081966,0.0003494407,0.00001678576,0.009446222,0.7847922,0.01651075,0.1886778],"study_design_scores_gemma":[0.00009845878,0.00001164384,0.001876817,0.000002801633,0.00000158603,0.000015221,0.000009424878,0.9013634,0.00849941,0.005646624,0.08235804,0.0001166116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005805973,0.00006111308,0.9374451,0.001410077,0.00003585373,0.00003443301,1.758416e-7,0.0002603786,0.05494687],"genre_scores_gemma":[0.951906,0.000005375326,0.04496989,0.0004287965,0.00002452844,0.000006614624,9.551289e-7,0.000001744574,0.002656157],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9461,"threshold_uncertainty_score":0.9995514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580066729502936,"score_gpt":0.2141789567499159,"score_spread":0.1983782894548865,"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."}}