{"id":"W7118121714","doi":"10.5281/zenodo.18138279","title":"Quad Convergence IoT-Blockchain-AI-CyberSecurity Unified by Diversity, Driven by Convergence","year":2024,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Marriott International (Canada)","funders":"","keywords":"Convergence (economics); Power (physics); Current (fluid); Compact convergence","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","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.001397971,0.0005283463,0.0004138227,0.0003540992,0.005157347,0.004731052,0.006201704,0.0002597811,0.0314577],"category_scores_gemma":[0.0003469886,0.0006062693,0.0002398635,0.001568392,0.00070479,0.0007888606,0.01403566,0.001220451,0.02359722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004856468,"about_ca_system_score_gemma":0.00002860845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005749278,"about_ca_topic_score_gemma":0.000001545277,"domain_scores_codex":[0.9943488,0.0007371517,0.0006679128,0.00172702,0.001365418,0.001153659],"domain_scores_gemma":[0.9969079,0.00007145561,0.0002324875,0.001093109,0.001017462,0.0006775377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005470226,0.0002862844,0.00001534505,0.0002776105,0.0001968752,0.0001459507,0.01048877,0.00008570452,0.00615312,0.0296102,0.9236364,0.02904909],"study_design_scores_gemma":[0.0004434596,0.0004947232,0.00003676964,0.0002388109,0.00004826784,0.0001133209,0.0003485233,0.1276561,0.002466763,0.0006885588,0.8667878,0.0006768891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2073182,0.01134558,0.5300332,0.05475673,0.01738938,0.004910314,0.007949608,0.01200219,0.1542948],"genre_scores_gemma":[0.9855233,0.0005982687,0.0002201817,0.001032374,0.0002361802,5.525398e-8,0.0005052274,0.001019868,0.01086452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7782052,"threshold_uncertainty_score":0.9996389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191835086168459,"score_gpt":0.2398499260159238,"score_spread":0.2179315751542392,"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."}}