{"id":"W2388299720","doi":"","title":"Design on the Anti-interference Techniques of the Fish-paste Production Line's CAN","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":"Computer science; Ground; Interference (communication); Production line; Float (project management); Automation; Line (geometry); Production (economics); Embedded system; Telecommunications; Electrical engineering; Systems engineering; Mechanical engineering; Engineering","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":[0.0002718174,0.00008717629,0.00009214335,0.00004653203,0.000109766,0.00001084429,0.0003567233,0.0001006577,0.000002128748],"category_scores_gemma":[0.000001495385,0.00005482139,0.00003659301,0.0002427137,0.00005953723,0.00001651784,0.00002780537,0.0002172288,0.000006613507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000304544,"about_ca_system_score_gemma":0.00001028273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009859642,"about_ca_topic_score_gemma":0.00001379502,"domain_scores_codex":[0.9994845,0.0000241594,0.0001945197,0.0001194081,0.00005214893,0.0001252823],"domain_scores_gemma":[0.999485,0.00006057229,0.00005096716,0.0003479228,0.00004459063,0.00001101881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001314698,0.00008117458,0.0001421425,0.00003276533,0.00008128709,3.404097e-7,0.0003583137,0.004430711,0.6710132,0.008668937,0.008699134,0.3064789],"study_design_scores_gemma":[0.00005806386,0.00001994082,0.0002617995,0.00004047269,0.00000950397,0.000007525799,0.00001998106,0.0007164364,0.9519354,0.0004403761,0.04641543,0.0000751253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01683615,0.00002449272,0.9789088,0.001865076,0.00007770215,0.001378739,0.000004981825,0.0003103056,0.0005937248],"genre_scores_gemma":[0.9962304,0.000004525984,0.003106593,0.0001062571,0.0002278632,0.0002440868,0.000001245058,0.0000110545,0.00006798172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9793943,"threshold_uncertainty_score":0.2235551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01743660637797813,"score_gpt":0.2126081842079977,"score_spread":0.1951715778300196,"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."}}