{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005427307,0.00062424,0.000297148,0.001092381,0.0008183475,0.0009973581,0.0007342849,0.0006046661,0.02253636],"category_scores_gemma":[0.001348813,0.0002387617,0.0002407537,0.0007359592,0.0003372454,0.001168029,0.0007445017,0.000517523,0.003890991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005433881,"about_ca_system_score_gemma":0.0004185562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009662479,"about_ca_topic_score_gemma":0.0008870705,"domain_scores_codex":[0.9996017,0.00006394033,0.00002203906,0.00007506637,0.0001652704,0.00007201575],"domain_scores_gemma":[0.9993883,0.0001240922,0.00006094717,0.0001258132,0.0002656233,0.00003505744],"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":[0.0005741447,0.0001176139,0.002285813,0.000219062,0.00002677146,0.000610061,0.0003708201,0.01102295,0.076913,0.153922,0.04661633,0.7073213],"study_design_scores_gemma":[0.0002352249,0.0009096043,0.004933141,0.0001600212,0.000187559,0.003381707,0.000299877,0.2117009,0.2480416,0.03650169,0.4934097,0.0002390434],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05860632,0.00111979,0.7610687,0.0005545989,0.001135371,0.000437503,0.0008283296,0.008178049,0.1680713],"genre_scores_gemma":[0.7237703,0.0009992467,0.2125634,0.0005395611,0.0008580728,0.0002726969,0.001358797,0.0003661973,0.05927181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02253636,"threshold_uncertainty_score":0.07539165,"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."}}