{"id":"W4235913782","doi":"10.1109/mspec.2021.9370148","title":"CrossTalk","year":2021,"lang":"nl","type":"article","venue":"IEEE Spectrum","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smart city; Telecommunications; Business; Engineering; Architectural engineering; Computer security; Computer science; Internet of Things","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004963466,0.0002418614,0.0002694621,0.00007093715,0.0001168113,0.0001792292,0.0002110905,0.0002359929,0.002595181],"category_scores_gemma":[0.00003662162,0.0002745983,0.0001523787,0.00035692,0.0001023128,0.0000969465,0.00008485281,0.0003795251,0.002110683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001217416,"about_ca_system_score_gemma":0.00006419017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007262715,"about_ca_topic_score_gemma":0.0002606002,"domain_scores_codex":[0.9986923,0.00001172156,0.000230503,0.0003029788,0.0001678218,0.0005946976],"domain_scores_gemma":[0.9992377,0.0000442792,0.00002845713,0.0005957009,0.00002578474,0.00006807464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000589138,0.0005262163,0.01239387,0.001639989,0.001950594,0.01026802,0.001913978,0.01778114,0.09915703,0.2369533,0.5860887,0.03126828],"study_design_scores_gemma":[0.0005253913,0.0000807855,0.003414061,0.0001117171,0.00005323986,0.0001685256,0.0009885798,0.002271299,0.6068065,0.01449985,0.3704111,0.0006689363],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7728245,0.01410265,0.002409794,0.00623795,0.01371744,0.0001733887,0.0001366919,0.002176533,0.188221],"genre_scores_gemma":[0.9829457,0.001395537,0.0003749526,0.0000973194,0.0006820592,0.000004375274,0.000007099858,0.00005930156,0.01443369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5076495,"threshold_uncertainty_score":0.9999706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106468750399176,"score_gpt":0.2130520235851373,"score_spread":0.2019873360811456,"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."}}