{"id":"W4393179509","doi":"10.1017/9781009283403.011","title":"Batch Codes","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Content (measure theory); Database; Information retrieval; Mathematics","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":[0.0009621625,0.0010896,0.0009384857,0.001544159,0.0007714053,0.002344826,0.00173973,0.0008256783,0.2964891],"category_scores_gemma":[0.005158828,0.0004561687,0.0006808372,0.00182706,0.0005506517,0.002491635,0.001503041,0.001484648,0.204818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629521,"about_ca_system_score_gemma":0.001992723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003816462,"about_ca_topic_score_gemma":0.004290365,"domain_scores_codex":[0.9988199,0.0001483099,0.00007668865,0.0002150567,0.0005988707,0.0001411839],"domain_scores_gemma":[0.9974236,0.0005359616,0.00008441708,0.0006883577,0.00109931,0.0001682996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000299411,0.00004990111,0.0002295941,0.0004676975,0.00001927041,0.00008914552,0.00005358245,0.008438285,0.002867177,0.1263435,0.5890677,0.2720747],"study_design_scores_gemma":[0.00005896948,0.0001111168,0.000427233,0.0001683466,0.00001990887,0.0001948763,0.00003367881,0.01522861,0.006474237,0.1040722,0.8731524,0.0000583116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004459496,0.004338501,0.343853,0.003573535,0.003760848,0.001096176,0.04722058,0.02423969,0.5674582],"genre_scores_gemma":[0.06025793,0.005021355,0.113618,0.001536693,0.001794464,0.001149689,0.06083674,0.009105909,0.7466792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2964891,"threshold_uncertainty_score":0.9918548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851371529835912,"score_gpt":0.1978679023506856,"score_spread":0.1793541870523264,"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."}}