{"id":"W4237647431","doi":"10.1017/9781108989817.014","title":"Theoretical Foundations for Future Machine Type Communications","year":2021,"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":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Content (measure theory); Telecommunications; Computer security; Computer network; Internet privacy; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008126412,0.0002226897,0.0002403108,0.0000938092,0.0004919891,0.0001390222,0.00200155,0.0002287693,0.00001372293],"category_scores_gemma":[0.000009572236,0.0002624154,0.0002065018,0.00002568915,0.0003108161,0.00009955579,0.001164626,0.0003230984,0.00001906169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009293567,"about_ca_system_score_gemma":0.0002095407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001039343,"about_ca_topic_score_gemma":0.000003691156,"domain_scores_codex":[0.999016,0.00003463405,0.0001614002,0.0004496191,0.000153271,0.000185091],"domain_scores_gemma":[0.9970347,0.0001667785,0.0001282006,0.00221502,0.0003313271,0.0001239531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004455077,0.00001667572,1.043116e-7,0.00002116447,0.00006265526,0.000009430196,0.00003310296,5.387872e-7,0.0000326363,0.986728,0.01003051,0.003060719],"study_design_scores_gemma":[0.0002226942,0.00002140587,0.000002462218,0.00003139734,0.0001104718,0.00001539218,0.00001445567,0.00832333,0.00007427403,0.0009974657,0.9899153,0.0002713107],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001599126,0.000403455,0.1848477,0.0006344975,0.0002055393,0.0004153324,0.00029287,0.0001933959,0.8130056],"genre_scores_gemma":[0.0009036312,0.0002941756,0.01897965,0.0001419937,0.0001417394,0.000005342366,0.0008603358,0.00002986505,0.9786432],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9857305,"threshold_uncertainty_score":0.9999828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02630968098170826,"score_gpt":0.2352547077036689,"score_spread":0.2089450267219607,"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."}}